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Newest job postings for 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...
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