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Most recent job postings at famousscientists
via ZipRecruiter
schedule_type: Full-time
Amazon AI is looking for world class scientists to join its AWS AI. This group is entrusted with developing core natural language processing, generative AI, deep learning and machine learning algorithms for AWS, with a focus on code development, broadly defined. You will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore... conceptually new solutions. You will interact closely
Amazon AI is looking for world class scientists to join its AWS AI. This group is entrusted with developing core natural language processing, generative AI, deep learning and machine learning algorithms for AWS, with a focus on code development, broadly defined. You will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore... conceptually new solutions. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS Q, a generative AI-powered assistant for enterprise computing, and work with other acclaimed engineers and world famous scientists.
As a senior Applied Scientist, you are recognized for your expertise, advise team members on a range of machine learning topics, and work closely with software engineers to drive the delivery of end-to-end modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs.
You take a long-term view of the business objectives, product roadmaps, technologies, and how they should evolve. You drive mindful discussions with customers, engineers, and scientist peers. You bring perspective and provide context for current technology choices, and make recommendations on the right modeling and component design approach to achieve the desired customer experience and business outcome.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our US Amazon offices.
We are open to hiring candidates to work out of one of the following locations:
Santa Clara, CA, USA
BASIC QUALIFICATIONS
- PhD, or Master's degree and 6+ years of applied research experience
- 3+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS
- Experience in building machine learning models for business application
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site Show more details...
As a senior Applied Scientist, you are recognized for your expertise, advise team members on a range of machine learning topics, and work closely with software engineers to drive the delivery of end-to-end modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs.
You take a long-term view of the business objectives, product roadmaps, technologies, and how they should evolve. You drive mindful discussions with customers, engineers, and scientist peers. You bring perspective and provide context for current technology choices, and make recommendations on the right modeling and component design approach to achieve the desired customer experience and business outcome.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our US Amazon offices.
We are open to hiring candidates to work out of one of the following locations:
Santa Clara, CA, USA
BASIC QUALIFICATIONS
- PhD, or Master's degree and 6+ years of applied research experience
- 3+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS
- Experience in building machine learning models for business application
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site Show more details...
via Jooble
posted_at: 10 days agoschedule_type: Full-time
Description
Come join the AWS AI science team in building the next generation models for intelligent automation.
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the... industry. As a member of the UC organization, you’ll
Description
Come join the AWS AI science team in building the next generation models for intelligent automation.
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the... industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops.
We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making.
We are located in the USA (Seattle, Pasadena, Bay Area).
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.
Basic Qualifications
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• 3+ years of building models for business application experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
• Experience using Unix/Linux
• Experience in professional software development
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit mazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit boutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site Show more details...
Come join the AWS AI science team in building the next generation models for intelligent automation.
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the... industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops.
We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making.
We are located in the USA (Seattle, Pasadena, Bay Area).
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.
Basic Qualifications
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• 3+ years of building models for business application experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
• Experience using Unix/Linux
• Experience in professional software development
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit mazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit boutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site Show more details...
via Talent.com
posted_at: 3 days agoschedule_type: Full-timesalary: 74.9K–139K a year
R&D Senior Scientist
Take your next career step at ABB with a global team that is energizing the transformation of society and industry to achieve a more productive, sustainable future.
At ABB, we have the clear goal of driving diversity and inclusion across all dimensions : gender, LGBTQ+, abilities, ethnicity and generations.
Together, we are embarking on a journey where each and every one of us, individually and collectively, welcomes and celebrates
R&D Senior Scientist
Take your next career step at ABB with a global team that is energizing the transformation of society and industry to achieve a more productive, sustainable future.
At ABB, we have the clear goal of driving diversity and inclusion across all dimensions : gender, LGBTQ+, abilities, ethnicity and generations.
Together, we are embarking on a journey where each and every one of us, individually and collectively, welcomes and celebrates individual differences.
Your role and responsibilities
Develop novel solutions to improve the performance and expand the application space of ABB instruments Utilize hardware, software and data analysis skills to develop, fabricate and test new analyzers based on cavity enhanced, tunable diode laser absorption spectrometry and other laser diagnostic techniques Design and perform experiments needed to qualify applications of new and current products Work with academic, national laboratory, industrial and other research collaborators... to apply laser based analyzers to a wide array of environmental, industrial, medical and military applications Document analyzer configurations, test protocols and results to drive the release of new products to production Occasional travel may be required
Qualifications for the role
• Ph.D. in applied physics, physical chemistry, analytical chemistry, optics or a related, experimental field and minimum 5 years of experience leading a research project or team or as Principal Investigator
• Masters Degree may be considered with extensive experience and proven track record
• Ability to motivate and challenge teammates in collaborative environment
• Strong background in molecular vibration and electronic transition spectroscopy using full spectra information for complex qualitative and quantitative chemical characterization of various mixtures
• Familiarity with optical spectroscopy (example absorption, FTIR, photoacoustic, Raman, fluorescence, LIBS, etc.) and spectral interpretation
• Superior understanding of statistical methods applied to both experimental design optimization and experimental data analysis, including but not limited to univariate statistical analysis, multivariate statistical analysis and iterative fitting techniques
• Hands on experience in using lasers (UV, NIR, MIR) in a laboratory setting and handling gas samples
• Proven problem solving skills to identify and troubleshoot unforeseen problems in a systematic, scientific method without direct instruction
• Ability to develop, implement and launch initiatives related to product changes, new products and new applications
• Familiarity with scientific data analysis tools, such as : MATLAB, PLS, PCR, IGOR Pro, Horizon, Origin, LabVIEW, Python, etc.
and / or spectroscopy analysis software, such as : Unscrambler / CAMO, PLS Toolbox, Horizon, Pirouette, Statistica, SIMCA, saisir or GRAMS A / I
• Gas phase trace analysis experience
• Familiar with cavity enhanced absorption spectroscopy techniques such as integrated cavity output spectroscopy (ICOS), cavity ringdown spectroscopy (CRDS) and wavelength scanning cavity ringdown
• spectroscopy (WS-CRDS), Optical Feedback Cavity Enhanced Absorption Spectroscopy (OFCEAS) or frequency comb spectroscopy techniques
• Extensive experience in experimental laboratory work using lasers, detectors, analog / digital signal processing and data acquisitions (DAQ)
• Experience using ZEMAX or other optical simulation software
• Scripting skills in Python or using MatLab are desirable
• Linux O / S knowledge is desirable
• Candidates must already have a work authorization that would permit them to work for ABB in the US
Benefits
• Retirement plan
• Life insurance
• Disability insurance
• Healthcare plan
• Wellbeing program
More about us
ABB's Measurement & Analytics division is among the world's leading manufacturers and suppliers of smart instrumentation and analyzers.
With thousands of experts around the world and high-performance digital technology, ABB's team is dedicated to making measurement easy for its industrial and energy customers to let them operate more efficiently and profitably.
We look forward to receiving your application. If you want to discover more about ABB, take another look at our website www.
abb.com. Equal Employment Opportunity and Affirmative Action at ABB ABB is an Equal Employment Opportunity (EEO) and Affirmative Action Employer encouraging diversity in the workplace.
All qualified applicants will receive consideration for employment without regard to their race, creed, color, ancestry, religion, sex, national origin, citizen status, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veterans status.
For more information regarding your (EEO) rights as an applicant, please visit the following websites : https : / / www.
eeoc.gov / sites / default / files / 2022-10 / EEOC KnowYourRights screen reader 10 20.pdf https : / / www.dol.gov / sites / dolgov / files / OFCCP / pdf / pay-transp %20English formattedESQA508c.
pdf As an Equal Employment Opportunity and Affirmative Action Employer, applicants may request to review the Affirmative Action Plan of a particular ABB facility between the hours of 9 : 00 A.
M. - 5 : 00 P.M. EST Monday through Friday by contacting an ABB HR Representative at 1-888-694-7762. Protected veterans and qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access ABB's career site as a result of your disability.
You may request reasonable accommodations by calling an ABB HR Representative at 1-888-694-7762 or by sending an email to US-AskHR@abb.
com. Resumes and applications will not be accepted in this manner. While base salary is determined by things such as the successful applicant's qualifications and experience, this position is expected to pay between $74,900 and $139,100 annually.
J-18808-Ljbffr
Last updated : 2024-07-05 Show more details...
Take your next career step at ABB with a global team that is energizing the transformation of society and industry to achieve a more productive, sustainable future.
At ABB, we have the clear goal of driving diversity and inclusion across all dimensions : gender, LGBTQ+, abilities, ethnicity and generations.
Together, we are embarking on a journey where each and every one of us, individually and collectively, welcomes and celebrates individual differences.
Your role and responsibilities
Develop novel solutions to improve the performance and expand the application space of ABB instruments Utilize hardware, software and data analysis skills to develop, fabricate and test new analyzers based on cavity enhanced, tunable diode laser absorption spectrometry and other laser diagnostic techniques Design and perform experiments needed to qualify applications of new and current products Work with academic, national laboratory, industrial and other research collaborators... to apply laser based analyzers to a wide array of environmental, industrial, medical and military applications Document analyzer configurations, test protocols and results to drive the release of new products to production Occasional travel may be required
Qualifications for the role
• Ph.D. in applied physics, physical chemistry, analytical chemistry, optics or a related, experimental field and minimum 5 years of experience leading a research project or team or as Principal Investigator
• Masters Degree may be considered with extensive experience and proven track record
• Ability to motivate and challenge teammates in collaborative environment
• Strong background in molecular vibration and electronic transition spectroscopy using full spectra information for complex qualitative and quantitative chemical characterization of various mixtures
• Familiarity with optical spectroscopy (example absorption, FTIR, photoacoustic, Raman, fluorescence, LIBS, etc.) and spectral interpretation
• Superior understanding of statistical methods applied to both experimental design optimization and experimental data analysis, including but not limited to univariate statistical analysis, multivariate statistical analysis and iterative fitting techniques
• Hands on experience in using lasers (UV, NIR, MIR) in a laboratory setting and handling gas samples
• Proven problem solving skills to identify and troubleshoot unforeseen problems in a systematic, scientific method without direct instruction
• Ability to develop, implement and launch initiatives related to product changes, new products and new applications
• Familiarity with scientific data analysis tools, such as : MATLAB, PLS, PCR, IGOR Pro, Horizon, Origin, LabVIEW, Python, etc.
and / or spectroscopy analysis software, such as : Unscrambler / CAMO, PLS Toolbox, Horizon, Pirouette, Statistica, SIMCA, saisir or GRAMS A / I
• Gas phase trace analysis experience
• Familiar with cavity enhanced absorption spectroscopy techniques such as integrated cavity output spectroscopy (ICOS), cavity ringdown spectroscopy (CRDS) and wavelength scanning cavity ringdown
• spectroscopy (WS-CRDS), Optical Feedback Cavity Enhanced Absorption Spectroscopy (OFCEAS) or frequency comb spectroscopy techniques
• Extensive experience in experimental laboratory work using lasers, detectors, analog / digital signal processing and data acquisitions (DAQ)
• Experience using ZEMAX or other optical simulation software
• Scripting skills in Python or using MatLab are desirable
• Linux O / S knowledge is desirable
• Candidates must already have a work authorization that would permit them to work for ABB in the US
Benefits
• Retirement plan
• Life insurance
• Disability insurance
• Healthcare plan
• Wellbeing program
More about us
ABB's Measurement & Analytics division is among the world's leading manufacturers and suppliers of smart instrumentation and analyzers.
With thousands of experts around the world and high-performance digital technology, ABB's team is dedicated to making measurement easy for its industrial and energy customers to let them operate more efficiently and profitably.
We look forward to receiving your application. If you want to discover more about ABB, take another look at our website www.
abb.com. Equal Employment Opportunity and Affirmative Action at ABB ABB is an Equal Employment Opportunity (EEO) and Affirmative Action Employer encouraging diversity in the workplace.
All qualified applicants will receive consideration for employment without regard to their race, creed, color, ancestry, religion, sex, national origin, citizen status, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veterans status.
For more information regarding your (EEO) rights as an applicant, please visit the following websites : https : / / www.
eeoc.gov / sites / default / files / 2022-10 / EEOC KnowYourRights screen reader 10 20.pdf https : / / www.dol.gov / sites / dolgov / files / OFCCP / pdf / pay-transp %20English formattedESQA508c.
pdf As an Equal Employment Opportunity and Affirmative Action Employer, applicants may request to review the Affirmative Action Plan of a particular ABB facility between the hours of 9 : 00 A.
M. - 5 : 00 P.M. EST Monday through Friday by contacting an ABB HR Representative at 1-888-694-7762. Protected veterans and qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access ABB's career site as a result of your disability.
You may request reasonable accommodations by calling an ABB HR Representative at 1-888-694-7762 or by sending an email to US-AskHR@abb.
com. Resumes and applications will not be accepted in this manner. While base salary is determined by things such as the successful applicant's qualifications and experience, this position is expected to pay between $74,900 and $139,100 annually.
J-18808-Ljbffr
Last updated : 2024-07-05 Show more details...
via Indeed
schedule_type: Full-time
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language...
Amazon is looking for world class scientists to join its AWS Fundamental Research Team working within a variety of machine learning disciplines. This group is entrusted with developing core machine learning
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language...
Amazon is looking for world class scientists to join its AWS Fundamental Research Team working within a variety of machine learning disciplines. This group is entrusted with developing core machine learning solutions for AWS services. At the AWS Fundamental Research Team you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually large scale ML solutions. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.
AWS Fundamental Research is part of AWS Utility Computing (UC)
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our US Amazon offices.
• Experience in professional software development
• 3+ years of building machine learning models or developing algorithms for business application experience
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site Show more details...
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language...
Amazon is looking for world class scientists to join its AWS Fundamental Research Team working within a variety of machine learning disciplines. This group is entrusted with developing core machine learning solutions for AWS services. At the AWS Fundamental Research Team you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually large scale ML solutions. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.
AWS Fundamental Research is part of AWS Utility Computing (UC)
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our US Amazon offices.
• Experience in professional software development
• 3+ years of building machine learning models or developing algorithms for business application experience
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site Show more details...
via Talent.com
posted_at: 9 days agoschedule_type: Full-timesalary: 106K–138K a year
Description
Position at Seagen...
Seagen is a global, multi-product biotechnology company dedicated to developing and commercializing transformative cancer medicines.
As the industry leader in antibody-drug conjugate (ADC) technology, we pioneered a new generation in the science of harnessing antibodies to deliver cell-killing agents directly to cancer cells.
By working together with a shared dedication and diverse perspectives, we are able to
Description
Position at Seagen...
Seagen is a global, multi-product biotechnology company dedicated to developing and commercializing transformative cancer medicines.
As the industry leader in antibody-drug conjugate (ADC) technology, we pioneered a new generation in the science of harnessing antibodies to deliver cell-killing agents directly to cancer cells.
By working together with a shared dedication and diverse perspectives, we are able to reach our full potential and make a real difference in the world.
Seagen is a fast-growing company and has an abundance of opportunities available for you to grow your career. Put your passion to work at Seagen and join us!
Summary :
Seagen is seeking a highly motivated and innovative Scientist to join the Analytical Sciences Department. The primary responsibilities of the Scientist will include method development and qualification, product characterization, and design and execution of comparability studies in support of pipeline program deliverables and regulatory filings.
Additional responsibilities include authoring and review of technical reports and regulatory filings pertaining to characterization and comparability of Seagen products, leading product quality investigations, and providing technical leadership in support of development, qualification and troubleshooting methods spanning various analytical platforms including chromatography, capillary electrophoresis, and / or biophysical.
The successful candidate will show the ability to work and thrive in a highly collaborative, matrixed environment.
Responsibilities :
• Characterization of biologics or bioconjugates using relevant analytical biochemical and biophysical methods such as HPLC / UPLC chromatography, electrophoresis, UV / CD / fluorescence spectroscopy, calorimetry, and light scattering
• Mentor / Supervise other group members in either direct or matrixed reporting capacities
• Represent analytical sciences in highly collaborative groups across process sciences, manufacturing, and research
• Contribute to the implementation of technologies and strategies aimed at successful and rapid development of novel biotherapeutic modalities
• Assist junior colleagues with sample analysis, troubleshooting, data review, and instrument preventative maintenance
• Contribute to early and late phase pipeline programs through development, qualification, and transfer of analytical test methods
• Perform product characterization and analytical comparability exercises on a diverse pipeline of biotherapeutics
• Author and review of analytical technical reports, IND / BLA filings, and other regulatory submissions
Qualifications :
• and 10+ years; . and 8+ years; . and 0-3 years (may include post-doctoral experience) of industrial experience
• Strong working knowledge of fundamental biopharmaceutical principles including an understanding of protein structure, chemistry, and degradation mechanisms
• Practical experience with biochemical and biophysical characterization methods such as SE-UPLC, CE-SDS, icIEF, LC-MS, and UV / CD / fluorescence spectroscopies
• Good work ethic, team- and project-focused, and motivated to produce high quality data within aggressive timelines
• Excellent written and oral communication skills, organization, multitasking, and demonstrated success working in a collaborative cross-functional environment
The hiring pay range for this position is $106,000 to $138,000 per year based on skills, education and experience relevant to the role.
Other components of total compensation include a competitive equity grant at the time of hire and an annual bonus.
Last updated : 2024-06-29 Show more details...
Position at Seagen...
Seagen is a global, multi-product biotechnology company dedicated to developing and commercializing transformative cancer medicines.
As the industry leader in antibody-drug conjugate (ADC) technology, we pioneered a new generation in the science of harnessing antibodies to deliver cell-killing agents directly to cancer cells.
By working together with a shared dedication and diverse perspectives, we are able to reach our full potential and make a real difference in the world.
Seagen is a fast-growing company and has an abundance of opportunities available for you to grow your career. Put your passion to work at Seagen and join us!
Summary :
Seagen is seeking a highly motivated and innovative Scientist to join the Analytical Sciences Department. The primary responsibilities of the Scientist will include method development and qualification, product characterization, and design and execution of comparability studies in support of pipeline program deliverables and regulatory filings.
Additional responsibilities include authoring and review of technical reports and regulatory filings pertaining to characterization and comparability of Seagen products, leading product quality investigations, and providing technical leadership in support of development, qualification and troubleshooting methods spanning various analytical platforms including chromatography, capillary electrophoresis, and / or biophysical.
The successful candidate will show the ability to work and thrive in a highly collaborative, matrixed environment.
Responsibilities :
• Characterization of biologics or bioconjugates using relevant analytical biochemical and biophysical methods such as HPLC / UPLC chromatography, electrophoresis, UV / CD / fluorescence spectroscopy, calorimetry, and light scattering
• Mentor / Supervise other group members in either direct or matrixed reporting capacities
• Represent analytical sciences in highly collaborative groups across process sciences, manufacturing, and research
• Contribute to the implementation of technologies and strategies aimed at successful and rapid development of novel biotherapeutic modalities
• Assist junior colleagues with sample analysis, troubleshooting, data review, and instrument preventative maintenance
• Contribute to early and late phase pipeline programs through development, qualification, and transfer of analytical test methods
• Perform product characterization and analytical comparability exercises on a diverse pipeline of biotherapeutics
• Author and review of analytical technical reports, IND / BLA filings, and other regulatory submissions
Qualifications :
• and 10+ years; . and 8+ years; . and 0-3 years (may include post-doctoral experience) of industrial experience
• Strong working knowledge of fundamental biopharmaceutical principles including an understanding of protein structure, chemistry, and degradation mechanisms
• Practical experience with biochemical and biophysical characterization methods such as SE-UPLC, CE-SDS, icIEF, LC-MS, and UV / CD / fluorescence spectroscopies
• Good work ethic, team- and project-focused, and motivated to produce high quality data within aggressive timelines
• Excellent written and oral communication skills, organization, multitasking, and demonstrated success working in a collaborative cross-functional environment
The hiring pay range for this position is $106,000 to $138,000 per year based on skills, education and experience relevant to the role.
Other components of total compensation include a competitive equity grant at the time of hire and an annual bonus.
Last updated : 2024-06-29 Show more details...
via Talent.com
posted_at: 3 days agoschedule_type: Full-timesalary: 180K–280K a year
What’s so interesting about this role
At Grindr, our mission is to show a user the right match, in the right place, at the right time. We tailor our dating platform for a diverse and global audience, so customers world-wide with different tastes and backgrounds can find their best match on every visit...
We grow our relationships with our users by leveraging our deep understanding of them to provide relevant and timely recommendations.
We believe
What’s so interesting about this role
At Grindr, our mission is to show a user the right match, in the right place, at the right time. We tailor our dating platform for a diverse and global audience, so customers world-wide with different tastes and backgrounds can find their best match on every visit...
We grow our relationships with our users by leveraging our deep understanding of them to provide relevant and timely recommendations.
We believe the current customer experience is only scratching the surface of innovative experiences that are made possible as dating continues to shift online, and that science is at the center of delivering a step-function change for our CX.
We are looking for a highly motivated and experienced Machine Learning Engineer to join our team and help us shape the future of machine learning at Grindr.
In this role, you will tackle new challenges in machine learning that will have a real impact on the way people discover and interact with the world around them in the LGBT community.
You will collaborate with a world-class team of research scientists and engineers to develop new machine learning algorithms, systems, and applications that will bring step-function impact to the business metrics.
What’s the job
As a Principal ML engineer you will have deep subject matter expertise in the area of recommendations science. You will work with multiple teams of engineers and product managers to translate business and functional requirements into concrete deliverables.
You will lead ground-breaking efforts in Generative AI to develop new approaches to Personalization, and provide thought leadership to scientists and engineers to invent and implement scalable ML recommendations supporting new Customer Experiences.
• Lead cutting-edge algorithm development in machine learning and collaborate with other engineering teams to adopt the innovations into Grindr problems
• Collect, analyze, and synthesize findings from data and build intelligent data-driven model
• Scope and independently solve moderately complex problems; write clean, efficient, and sustainable code
• Be an expert in matching algorithm and recommender systems machine learning models and own the implementation of dating recommendations in Grindr
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across dating, personalization, growth, discovery, ads and search
What we’ll love about you
• BS in Computer science / Math or related field.
• Mastery of at least one systems languages ( Python, Java, C++) and one DL framework (Pytorch, Tensorflow, Keras) and one data analysis libraries (Pandas, R)
• Extensive experience building, deploying and maintaining end-to-end recommendation systems
• Experience in building complex, real-time systems involving AI, ML, NLP, Recommender Systems, Ads with successful delivery to customers.
• 5+ years working experience in engineering or R&D teams that build large-scale production-level ML-driven projects. Ability to take a project from requirements gathering and design to actual product launch
• Strong track record of working with language modeling technologies. This could include the following : Developing generative and embedding techniques, modern model architectures, fine tuning / pre-training datasets, and evaluation benchmarks.
• Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment and expertise with Git version control.
We’ll really swoon if you have
• MS or PHD degree in Computer Science or Machine Learning.
• Experience working on recommender systems and matching algorithms in dating industry
• Expertise in large language models or demonstrated ability to develop this expertise quickly.
• Exposure to architectural patterns of large scale software applications
• Experience in shipping products to millions of customers or have started a new line of product
• Experience with Hadoop / HBase / Pig or MapReduce / Sawzall / Bigtable / Hive / Spark
• Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science.
What you'll love about us
• Mission and Impact : Your role will impact the lives of millions of LGBTQ+ people around the world. Through our success, we are making a world where the lives of our community are free, equal, and just.
• Family Insurance : Insurance premium coverage for health, dental, and vision for you and partial coverage for your dependents.
• Retirement Savings : Generous 401K plan with 6% match and immediate vest in the U.S.
• Compensation : Industry-competitive compensation and eligibility for company bonus and equity programs.
• Queer-Inclusive Benefits : Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more.
• Additional Benefits : Flexible vacation policy, monthly stipends for cell phone, internet, wellness, food, and commuting, breakfast / lunch provided onsite, and yearly travel & leisure stipend.
About Grindr
With more than 13.5 million monthly active users, Grindr has become a fundamental part of the LGBTQ+ community and is charting a path to make the world more free, equal, and just.
Since 2015, Grindr for Equality has advanced safety, health, and human rights for millions of Grindr users and the global LGBTQ+ community in partnership with more than 100 community organizations in every region of the world.
Our next evolution is underway as a public company that continues to grow and build meaningful experiences for our users.
From social issues to product innovations, we're setting audacious goals for our community and the business, and leveraging the latest tech stacks and a culture of engineering excellence to make it happen.
At the heart of our work in this new chapter is a shared set of operating principles centered around cultivating curiosity, thinking big, setting and expediting our ambitious goals, and growing through iteration;
all while keeping our users #1.
Grindr is headquartered in West Hollywood, California, with offices in the Bay Area, Chicago, New York, and Washington, D.
C. With a track record of strong financial performance and plans for continued headcount growth, we’re building a team of talented, passionate, and open-minded people who want to disrupt the dating app space, innovate products, and advance LGBTQ+ culture.
Come be a part of this exciting journey with us.
Grindr is an equal-opportunity employer
To learn more about how we handle the personal data of applicants, visit our Employee and Candidate Privacy Policy.
Grindr is committed to fair and equitable compensation practices. This base pay range is for the U.S. and is not applicable to locations outside of the U.
S. The actual base pay is dependent upon many factors, such as training, transferable skills, work experience, business needs, location, and market demands.
The base pay range is subject to change and may be modified in the future. This role will also be eligible for equity, benefits, and a company bonus program.
Base Pay Range
$180,000 $280,000 USD
J-18808-Ljbffr
Last updated : 2024-07-05 Show more details...
At Grindr, our mission is to show a user the right match, in the right place, at the right time. We tailor our dating platform for a diverse and global audience, so customers world-wide with different tastes and backgrounds can find their best match on every visit...
We grow our relationships with our users by leveraging our deep understanding of them to provide relevant and timely recommendations.
We believe the current customer experience is only scratching the surface of innovative experiences that are made possible as dating continues to shift online, and that science is at the center of delivering a step-function change for our CX.
We are looking for a highly motivated and experienced Machine Learning Engineer to join our team and help us shape the future of machine learning at Grindr.
In this role, you will tackle new challenges in machine learning that will have a real impact on the way people discover and interact with the world around them in the LGBT community.
You will collaborate with a world-class team of research scientists and engineers to develop new machine learning algorithms, systems, and applications that will bring step-function impact to the business metrics.
What’s the job
As a Principal ML engineer you will have deep subject matter expertise in the area of recommendations science. You will work with multiple teams of engineers and product managers to translate business and functional requirements into concrete deliverables.
You will lead ground-breaking efforts in Generative AI to develop new approaches to Personalization, and provide thought leadership to scientists and engineers to invent and implement scalable ML recommendations supporting new Customer Experiences.
• Lead cutting-edge algorithm development in machine learning and collaborate with other engineering teams to adopt the innovations into Grindr problems
• Collect, analyze, and synthesize findings from data and build intelligent data-driven model
• Scope and independently solve moderately complex problems; write clean, efficient, and sustainable code
• Be an expert in matching algorithm and recommender systems machine learning models and own the implementation of dating recommendations in Grindr
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across dating, personalization, growth, discovery, ads and search
What we’ll love about you
• BS in Computer science / Math or related field.
• Mastery of at least one systems languages ( Python, Java, C++) and one DL framework (Pytorch, Tensorflow, Keras) and one data analysis libraries (Pandas, R)
• Extensive experience building, deploying and maintaining end-to-end recommendation systems
• Experience in building complex, real-time systems involving AI, ML, NLP, Recommender Systems, Ads with successful delivery to customers.
• 5+ years working experience in engineering or R&D teams that build large-scale production-level ML-driven projects. Ability to take a project from requirements gathering and design to actual product launch
• Strong track record of working with language modeling technologies. This could include the following : Developing generative and embedding techniques, modern model architectures, fine tuning / pre-training datasets, and evaluation benchmarks.
• Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment and expertise with Git version control.
We’ll really swoon if you have
• MS or PHD degree in Computer Science or Machine Learning.
• Experience working on recommender systems and matching algorithms in dating industry
• Expertise in large language models or demonstrated ability to develop this expertise quickly.
• Exposure to architectural patterns of large scale software applications
• Experience in shipping products to millions of customers or have started a new line of product
• Experience with Hadoop / HBase / Pig or MapReduce / Sawzall / Bigtable / Hive / Spark
• Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science.
What you'll love about us
• Mission and Impact : Your role will impact the lives of millions of LGBTQ+ people around the world. Through our success, we are making a world where the lives of our community are free, equal, and just.
• Family Insurance : Insurance premium coverage for health, dental, and vision for you and partial coverage for your dependents.
• Retirement Savings : Generous 401K plan with 6% match and immediate vest in the U.S.
• Compensation : Industry-competitive compensation and eligibility for company bonus and equity programs.
• Queer-Inclusive Benefits : Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more.
• Additional Benefits : Flexible vacation policy, monthly stipends for cell phone, internet, wellness, food, and commuting, breakfast / lunch provided onsite, and yearly travel & leisure stipend.
About Grindr
With more than 13.5 million monthly active users, Grindr has become a fundamental part of the LGBTQ+ community and is charting a path to make the world more free, equal, and just.
Since 2015, Grindr for Equality has advanced safety, health, and human rights for millions of Grindr users and the global LGBTQ+ community in partnership with more than 100 community organizations in every region of the world.
Our next evolution is underway as a public company that continues to grow and build meaningful experiences for our users.
From social issues to product innovations, we're setting audacious goals for our community and the business, and leveraging the latest tech stacks and a culture of engineering excellence to make it happen.
At the heart of our work in this new chapter is a shared set of operating principles centered around cultivating curiosity, thinking big, setting and expediting our ambitious goals, and growing through iteration;
all while keeping our users #1.
Grindr is headquartered in West Hollywood, California, with offices in the Bay Area, Chicago, New York, and Washington, D.
C. With a track record of strong financial performance and plans for continued headcount growth, we’re building a team of talented, passionate, and open-minded people who want to disrupt the dating app space, innovate products, and advance LGBTQ+ culture.
Come be a part of this exciting journey with us.
Grindr is an equal-opportunity employer
To learn more about how we handle the personal data of applicants, visit our Employee and Candidate Privacy Policy.
Grindr is committed to fair and equitable compensation practices. This base pay range is for the U.S. and is not applicable to locations outside of the U.
S. The actual base pay is dependent upon many factors, such as training, transferable skills, work experience, business needs, location, and market demands.
The base pay range is subject to change and may be modified in the future. This role will also be eligible for equity, benefits, and a company bonus program.
Base Pay Range
$180,000 $280,000 USD
J-18808-Ljbffr
Last updated : 2024-07-05 Show more details...
via Jooble
posted_at: 5 days agoschedule_type: Full-time
Job ID: 2679758 | Amazon.com Services LLC
Are you passionate about automation, knowledge extraction, and artificial intelligence through the use of Machine Learning, Natural Language Processing, Recommender systems, Computer Vision, and Optimization? We have a team of experienced scientists with a critical business mission making revolutionary leaps forward in these spaces. On this team you will... work with an immense and diverse corpus of text,
Job ID: 2679758 | Amazon.com Services LLC
Are you passionate about automation, knowledge extraction, and artificial intelligence through the use of Machine Learning, Natural Language Processing, Recommender systems, Computer Vision, and Optimization? We have a team of experienced scientists with a critical business mission making revolutionary leaps forward in these spaces. On this team you will... work with an immense and diverse corpus of text, image, and audio to build generative and discriminative models, analyze and model customer reading behavior to measure engagement and detect risks, study and optimize manufacturing and fulfillment processes, and build AI-based systems for helping indie authors with marketing their books. This will involve combining methods from several science domains with domain knowledge across multiple businesses into sophisticated ML workflows. Our team has mature areas and green-field opportunities. We offer scientific autonomy, value end-to-end ownership, and have a strong customer-focused culture.
Come join us as we revolutionize the book industry and deliver an amazing experience to our Kindle authors and readers.
Key job responsibilities
As a Machine Learning Scientist at Amazon, you will connect with world leaders in your field working on similar problems. You will be working with large distributed systems of data and providing technical leadership to the product managers, teams, and organizations building machine learning solutions. You will be tackling Machine Learning challenges in Supervised, Unsupervised, and Semi-supervised Learning; utilizing modern methods such as deep learning and classical methods from statistical learning theory, detection, estimation. MLS’s are specialists with the knowledge to help drive the scientific vision for our products. They are externally aware of the state-of-the-art in their respective field of expertise and are constantly focused on advancing that state-of-the-art for improving Amazon’s products and services.
Great candidates for this position will have experience in the areas of data science, machine learning, NLP, optimization, computer vision, or statistics. You will have hands-on experience with multiple science initiatives as well as be able to balance technical strength with business judgment to make decisions about technology, models and methodological choices. You will strive for simplicity, and demonstrate significant creativity and high judgment.
About the team
Kindle Direct Publishing (KDP) and Print-On-Demand (POD) have empowered a new wave of self-motivated creators, tearing down barriers that once blocked writers from reaching readers. Our team builds rich applications that empower anyone to realize their dream of becoming an author. We strive to provide an experience that is powerful, simple, and accessible to all. We build tools that enable authors to design high quality digital and print books, reaching readers all around the world. This role will help ensure we maintain the trust of both our Authors and Readers by ensuring all books published to Amazon meet our standards. BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- Experience using Unix/Linux
- Experience in professional software development
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Posted: December 4, 2023 (Updated 3 days ago)
Posted: June 8, 2024 (Updated 6 days ago)
Posted: June 17, 2024 (Updated 9 days ago)
Posted: April 8, 2024 (Updated 15 days ago)
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
#J-18808-Ljbffr Show more details...
Are you passionate about automation, knowledge extraction, and artificial intelligence through the use of Machine Learning, Natural Language Processing, Recommender systems, Computer Vision, and Optimization? We have a team of experienced scientists with a critical business mission making revolutionary leaps forward in these spaces. On this team you will... work with an immense and diverse corpus of text, image, and audio to build generative and discriminative models, analyze and model customer reading behavior to measure engagement and detect risks, study and optimize manufacturing and fulfillment processes, and build AI-based systems for helping indie authors with marketing their books. This will involve combining methods from several science domains with domain knowledge across multiple businesses into sophisticated ML workflows. Our team has mature areas and green-field opportunities. We offer scientific autonomy, value end-to-end ownership, and have a strong customer-focused culture.
Come join us as we revolutionize the book industry and deliver an amazing experience to our Kindle authors and readers.
Key job responsibilities
As a Machine Learning Scientist at Amazon, you will connect with world leaders in your field working on similar problems. You will be working with large distributed systems of data and providing technical leadership to the product managers, teams, and organizations building machine learning solutions. You will be tackling Machine Learning challenges in Supervised, Unsupervised, and Semi-supervised Learning; utilizing modern methods such as deep learning and classical methods from statistical learning theory, detection, estimation. MLS’s are specialists with the knowledge to help drive the scientific vision for our products. They are externally aware of the state-of-the-art in their respective field of expertise and are constantly focused on advancing that state-of-the-art for improving Amazon’s products and services.
Great candidates for this position will have experience in the areas of data science, machine learning, NLP, optimization, computer vision, or statistics. You will have hands-on experience with multiple science initiatives as well as be able to balance technical strength with business judgment to make decisions about technology, models and methodological choices. You will strive for simplicity, and demonstrate significant creativity and high judgment.
About the team
Kindle Direct Publishing (KDP) and Print-On-Demand (POD) have empowered a new wave of self-motivated creators, tearing down barriers that once blocked writers from reaching readers. Our team builds rich applications that empower anyone to realize their dream of becoming an author. We strive to provide an experience that is powerful, simple, and accessible to all. We build tools that enable authors to design high quality digital and print books, reaching readers all around the world. This role will help ensure we maintain the trust of both our Authors and Readers by ensuring all books published to Amazon meet our standards. BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- Experience using Unix/Linux
- Experience in professional software development
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Posted: December 4, 2023 (Updated 3 days ago)
Posted: June 8, 2024 (Updated 6 days ago)
Posted: June 17, 2024 (Updated 9 days ago)
Posted: April 8, 2024 (Updated 15 days ago)
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
#J-18808-Ljbffr Show more details...
via Talent.com
posted_at: 4 days agoschedule_type: Full-timesalary: 136K a year
Are you fueled by a passion for computer vision, machine learning and AI, and are eager to leverage your skills to enrich the lives of millions across the globe?
Join us at Ring AI team, where we're not just offering a job, but an opportunity to revolutionize safety and convenience in our neighborhoods through cutting-edge innovation...
You will be part of a dynamic team dedicated to pushing the boundaries of computer vision, machine learning and
Are you fueled by a passion for computer vision, machine learning and AI, and are eager to leverage your skills to enrich the lives of millions across the globe?
Join us at Ring AI team, where we're not just offering a job, but an opportunity to revolutionize safety and convenience in our neighborhoods through cutting-edge innovation...
You will be part of a dynamic team dedicated to pushing the boundaries of computer vision, machine learning and AI to deliver an unparalleled user experience for our neighbors.
This position presents an exceptional opportunity for you to pioneer and innovate in AI, making a profound impact on millions of customers worldwide.
You will partner with world-class AI scientists, engineers, product managers and other experts to develop industry-leading AI algorithms and systems for a diverse array of Ring and Blink products, enhancing the lives of millions of customers globally.
Join us in shaping the future of AI innovation at Ring and Blink, where exciting challenges await!
Key job responsibilities
• Research and implement the state-of-the-art computer vision and machine learning methods to deliver high-quality artifacts that meets product specifications.
• Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and gap analysis.
• Provide technical leadership and research new machine learning approaches to drive continued scientific innovation.
• Work in a collaborative environment with other scientists, engineers, product managers and cross-functional teams.
• Mentor and develop junior scientists on the team
Sunnyvale, CA, USA
BASIC QUALIFICATIONS
• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS
• Proven track record of innovation in creating novel algorithms and advancing the state-of-the-art
• Experience in prototyping, designing, implementing and deploying large-scale computer vision applications and tools
• Experience in developing highly-optimized CV and ML algorithms on resource-constrained platforms
• Ability to juggle multiple priorities and dealing with ambiguities
• Exceptional writing and verbal communications skills
Last updated : 2024-07-04 Show more details...
Join us at Ring AI team, where we're not just offering a job, but an opportunity to revolutionize safety and convenience in our neighborhoods through cutting-edge innovation...
You will be part of a dynamic team dedicated to pushing the boundaries of computer vision, machine learning and AI to deliver an unparalleled user experience for our neighbors.
This position presents an exceptional opportunity for you to pioneer and innovate in AI, making a profound impact on millions of customers worldwide.
You will partner with world-class AI scientists, engineers, product managers and other experts to develop industry-leading AI algorithms and systems for a diverse array of Ring and Blink products, enhancing the lives of millions of customers globally.
Join us in shaping the future of AI innovation at Ring and Blink, where exciting challenges await!
Key job responsibilities
• Research and implement the state-of-the-art computer vision and machine learning methods to deliver high-quality artifacts that meets product specifications.
• Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and gap analysis.
• Provide technical leadership and research new machine learning approaches to drive continued scientific innovation.
• Work in a collaborative environment with other scientists, engineers, product managers and cross-functional teams.
• Mentor and develop junior scientists on the team
Sunnyvale, CA, USA
BASIC QUALIFICATIONS
• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS
• Proven track record of innovation in creating novel algorithms and advancing the state-of-the-art
• Experience in prototyping, designing, implementing and deploying large-scale computer vision applications and tools
• Experience in developing highly-optimized CV and ML algorithms on resource-constrained platforms
• Ability to juggle multiple priorities and dealing with ambiguities
• Exceptional writing and verbal communications skills
Last updated : 2024-07-04 Show more details...
via Jooble
posted_at: 7 days agoschedule_type: Full-time
Applied Scientist II, Amazon Stores Economics and Science (SEAS)
Job ID: 2683524 | Amazon.com Services LLC...
Stores Economics and Science (SEAS) is an interdisciplinary science and engineering team in Amazon's Stores organization with a peak-jumping mission: we apply expertise in science and engineering to move from local to global optima in methods, models, and software. We pursue this mission by leveraging frontier science; collaborating with
Applied Scientist II, Amazon Stores Economics and Science (SEAS)
Job ID: 2683524 | Amazon.com Services LLC...
Stores Economics and Science (SEAS) is an interdisciplinary science and engineering team in Amazon's Stores organization with a peak-jumping mission: we apply expertise in science and engineering to move from local to global optima in methods, models, and software. We pursue this mission by leveraging frontier science; collaborating with partner teams; and learning from the tools, experience, and perspective of others. We scale by solving problems, first in the small to prove concepts, and then in the large by building scalable solutions. We also help other teams within Amazon scale by hiring and developing the best and embedding them in other business units. In 2024, we are focused on economics and science in areas related to (1) improving delivery speed and lowering cost-to-serve, (2) seller fees and incentives, and (3) emerging machine learning. We also have some ongoing and highly-leveraged collaborations that help partner teams inside Amazon short-circuit months of R&D or otherwise look around corners. We are looking for an Applied Scientist to build and deliver cutting-edge science and engineering solutions to improve our Stores business. In this role, you will work in a team of scientists and engineers with backgrounds in machine learning, NLP, IR, statistics, and economics to identify bottlenecks in our business, conceive new ideas to overcome those challenges, and deploy scientific solutions in partnership with product teams. Your responsibilities include developing and maintaining the scientific models, benchmarks, and services. Graduate education or hands-on experience in machine learning, optimization, causal inference, Bayesian statistics, deep learning, or other quantitative scientific fields is a big plus. To be successful in this role, you should be a quick learner and comfortable with a high degree of ambiguity.
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- Experience using Unix/Linux
- Experience in professional software development
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Posted: June 17, 2024 (Updated about 14 hours ago)
Posted: May 15, 2024 (Updated about 17 hours ago)
Posted: June 11, 2024 (Updated about 19 hours ago)
Posted: June 26, 2024 (Updated about 20 hours ago)
Posted: May 20, 2024 (Updated about 20 hours ago)
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
#J-18808-Ljbffr Show more details...
Job ID: 2683524 | Amazon.com Services LLC...
Stores Economics and Science (SEAS) is an interdisciplinary science and engineering team in Amazon's Stores organization with a peak-jumping mission: we apply expertise in science and engineering to move from local to global optima in methods, models, and software. We pursue this mission by leveraging frontier science; collaborating with partner teams; and learning from the tools, experience, and perspective of others. We scale by solving problems, first in the small to prove concepts, and then in the large by building scalable solutions. We also help other teams within Amazon scale by hiring and developing the best and embedding them in other business units. In 2024, we are focused on economics and science in areas related to (1) improving delivery speed and lowering cost-to-serve, (2) seller fees and incentives, and (3) emerging machine learning. We also have some ongoing and highly-leveraged collaborations that help partner teams inside Amazon short-circuit months of R&D or otherwise look around corners. We are looking for an Applied Scientist to build and deliver cutting-edge science and engineering solutions to improve our Stores business. In this role, you will work in a team of scientists and engineers with backgrounds in machine learning, NLP, IR, statistics, and economics to identify bottlenecks in our business, conceive new ideas to overcome those challenges, and deploy scientific solutions in partnership with product teams. Your responsibilities include developing and maintaining the scientific models, benchmarks, and services. Graduate education or hands-on experience in machine learning, optimization, causal inference, Bayesian statistics, deep learning, or other quantitative scientific fields is a big plus. To be successful in this role, you should be a quick learner and comfortable with a high degree of ambiguity.
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- Experience using Unix/Linux
- Experience in professional software development
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Posted: June 17, 2024 (Updated about 14 hours ago)
Posted: May 15, 2024 (Updated about 17 hours ago)
Posted: June 11, 2024 (Updated about 19 hours ago)
Posted: June 26, 2024 (Updated about 20 hours ago)
Posted: May 20, 2024 (Updated about 20 hours ago)
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
#J-18808-Ljbffr Show more details...
via Indeed
posted_at: 26 days agoschedule_type: Full-time
• Ph.D. degree in Statistics, Computer Science, Applied Math, or a related field with publications in refereed academic journals
• 7+ years of hands-on experience in solving difficult machine learning problems
• Expert at more than one major programming languages (C++, Java, or similar) and at least one scripting language (Perl, Python, or similar...
• Demonstrated ability to serve as a technical lead
• Excellent writing skills for presenting
• Ph.D. degree in Statistics, Computer Science, Applied Math, or a related field with publications in refereed academic journals
• 7+ years of hands-on experience in solving difficult machine learning problems
• Expert at more than one major programming languages (C++, Java, or similar) and at least one scripting language (Perl, Python, or similar...
• Demonstrated ability to serve as a technical lead
• Excellent writing skills for presenting business cases and scientific models with rigorous analyses that support results/conclusions to influence important decisions.
• Strong fundamentals in problem solving, algorithm design and complexity analysis
• Proven track in leading, mentoring, and growing teams of scientists
Amazon is looking for world class Principal Applied Scientist to join its AWS Fundamental Research Team working within a variety of machine learning disciplines. This group is entrusted with developing core machine learning solutions for AWS services. At the AWS Fundamental Research Team you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually large scale ML solutions. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.
AWS Fundamental Research is part of AWS Utility Computing (UC)
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our US Amazon offices.
Key job responsibilities
As an Principal Applied Scientist, you will take on challenging and ambiguous customer problems, distill customer requirements, and then deliver solutions that either leverage existing academic and medical research or utilize your own out-of-the-box but pragmatic thinking.
In addition to coming up with novel solutions and prototypes, you will directly contribute to its implementation.
A successful candidate has excellent technical depth, scientific vision, great implementation skills, and a drive to achieve results in a collaborative team environment. You should enjoy the process of solving real-world, open-ended problems that, quite frankly, haven’t been solved at scale anywhere before. Along the way, we guarantee you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables machine learning and statistics to truly impact the lives and health of millions of customers.
You mentor and help develop a team of Applied Scientists and SDEs and work with key leaders to guide this top talent to push the boundary of science and next generation of product. They will lead the technical implementation of our evidence-based retrieval sub-system that ingests, indexes and retrieves relevant data in different forms and from multiple sources given the customer question and context.
We are open to hiring candidates to work out of one of the following locations:
Palo Alto, CA, USA
• Deep technical knowledge of machine learning and statistical methodologies
• Experience with deep learning toolkits and frameworks
• Solid software development experience
• Algorithm and model development experience for large-scale applications
• Experience with defining research and development practices in an applied environment Excellent communication skills, both written and oral, with technical and business people.
• Professional traits, that are not unique to this position but are necessary for Amazon leaders, including exhibiting excellent judgment; maintaining relentlessly high standards; thinking strategically while staying on top of tactical execution; expecting innovation from collaborators; thinking big; having convictions; being results oriented; and inspiring passion in others about learning, research, and implementation
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site Show more details...
• 7+ years of hands-on experience in solving difficult machine learning problems
• Expert at more than one major programming languages (C++, Java, or similar) and at least one scripting language (Perl, Python, or similar...
• Demonstrated ability to serve as a technical lead
• Excellent writing skills for presenting business cases and scientific models with rigorous analyses that support results/conclusions to influence important decisions.
• Strong fundamentals in problem solving, algorithm design and complexity analysis
• Proven track in leading, mentoring, and growing teams of scientists
Amazon is looking for world class Principal Applied Scientist to join its AWS Fundamental Research Team working within a variety of machine learning disciplines. This group is entrusted with developing core machine learning solutions for AWS services. At the AWS Fundamental Research Team you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually large scale ML solutions. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.
AWS Fundamental Research is part of AWS Utility Computing (UC)
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our US Amazon offices.
Key job responsibilities
As an Principal Applied Scientist, you will take on challenging and ambiguous customer problems, distill customer requirements, and then deliver solutions that either leverage existing academic and medical research or utilize your own out-of-the-box but pragmatic thinking.
In addition to coming up with novel solutions and prototypes, you will directly contribute to its implementation.
A successful candidate has excellent technical depth, scientific vision, great implementation skills, and a drive to achieve results in a collaborative team environment. You should enjoy the process of solving real-world, open-ended problems that, quite frankly, haven’t been solved at scale anywhere before. Along the way, we guarantee you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables machine learning and statistics to truly impact the lives and health of millions of customers.
You mentor and help develop a team of Applied Scientists and SDEs and work with key leaders to guide this top talent to push the boundary of science and next generation of product. They will lead the technical implementation of our evidence-based retrieval sub-system that ingests, indexes and retrieves relevant data in different forms and from multiple sources given the customer question and context.
We are open to hiring candidates to work out of one of the following locations:
Palo Alto, CA, USA
• Deep technical knowledge of machine learning and statistical methodologies
• Experience with deep learning toolkits and frameworks
• Solid software development experience
• Algorithm and model development experience for large-scale applications
• Experience with defining research and development practices in an applied environment Excellent communication skills, both written and oral, with technical and business people.
• Professional traits, that are not unique to this position but are necessary for Amazon leaders, including exhibiting excellent judgment; maintaining relentlessly high standards; thinking strategically while staying on top of tactical execution; expecting innovation from collaborators; thinking big; having convictions; being results oriented; and inspiring passion in others about learning, research, and implementation
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site Show more details...
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