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Most recent job postings at macresearch
via GovernmentJobs.com
schedule_type: Full-timesalary: 5,684 a month
Under direction, is responsible for research activities, including data collection, data reporting, evaluation, statistical analysis, projections, and data visualization. This position uses data to monitor compliance, prepare and submit reports, assess impact of our department, and fulfill other research needs. This work involves advanced data analysis and data research.
• Learn Bexar County MAC... data and reporting requirements
• Prepare quarterly
Under direction, is responsible for research activities, including data collection, data reporting, evaluation, statistical analysis, projections, and data visualization. This position uses data to monitor compliance, prepare and submit reports, assess impact of our department, and fulfill other research needs. This work involves advanced data analysis and data research.
• Learn Bexar County MAC... data and reporting requirements
• Prepare quarterly reporting metrics to the MAC Oversight Board and TIDC
• Prepare and distribute an annual survey of judges to address overall impressions of quality of indigent defense services and attorney performance
• Prepare and distribute an annual survey of users to gauge overall satisfaction with representation through the MAC
• Manage current MAC datasets regarding indigent defense programs and services
• Provide data and analysis in support of the MAC’s strategic and operational needs
• Identify research needs and prepare research agenda
• Coordination with third-party evaluator per TIDC grant requirements
• Recommend data-informed policies or initiatives that could substantively improve the Bexar County criminal justice system
• Create and manage a performance measurement, evaluation, and reporting system for the department.
• Respond to data inquiries from internal and external stakeholders
• Design and conduct program evaluations
• Contribute to team efforts within the department
• Coordinate and collaborate with other researchers across County criminal justice system
• In coordination with the MAC Program Manager and Law and Technology Resource Attorney, facilitates the development, implementation, integration and/or modification of the Department’s case assignment and case management systems
• Perform other work as assigned
• Bachelor’s degree in social science, public administration, public affairs, political science, economics, criminology, or related field and five (5) years’ experience in policy analysis, related government analysis, involving quantitative analysis and research techniques in criminal justice, health/human services, or other social science field
• Advanced education or experience may be substituted on a year for year basis
• Proficient in quantitative and qualitative research methods
• Demonstrated ability to work with large data sets
• Skills in problem-solving and policy analysis; skilled at using statistical software such as R, Python, Stata, Tableau, or Power Bi; skills in working collaboratively as an effective team member
• Demonstrated advanced computer skills in MS Office products including Excel to develop and maintain spreadsheets, charts, tables, graphs; MS Word; MS PowerPoint
• Skillful writing and oral communication skills
• Ability to work independently and to manage multiple competing demands
• Strong desire to improve the Bexar County Indigent Defense System
• Applicants selected for interview will be required to submit a writing sample and an example of data work performed
• Must secure and maintain a favorable background investigation and clearance
• Must clear a pre-employment physical
• May be required to work more than 40 hours during the workweek
Preferred Qualifications:
• Post-Graduate degree in public administration, social science, political science, economics, criminology, or related field
• Experience researching public defense or criminal justice
• Experience with surveys, focus groups, or randomized controlled trials
• Experience with data visualization
Working Environment and Physical Demands:
• Working conditions are in an office environment
• Occasionally moves items weighing up to 10 pounds
• Occasionally move about the office
• Frequently communicates with others; must be able to exchange accurate information
• Constantly operates a computer and other office productivity machinery
• Positions self to perform essential functions
• Must be able to remain in a stationary position
Workstations with internet access are available, if needed, to view job postings and apply online at 211 S Flores, San Antonio, TX 78204, 8am – 5pm, Monday through Friday. Phone: 210-335-2545.
EQUAL OPPORTUNITY EMPLOYER
Bexar County is an Equal Opportunity Employer and committed to Workplace Diversity.
We are committed to providing equal opportunity for protected veterans and individuals with disabilities.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Show more details...
• Learn Bexar County MAC... data and reporting requirements
• Prepare quarterly reporting metrics to the MAC Oversight Board and TIDC
• Prepare and distribute an annual survey of judges to address overall impressions of quality of indigent defense services and attorney performance
• Prepare and distribute an annual survey of users to gauge overall satisfaction with representation through the MAC
• Manage current MAC datasets regarding indigent defense programs and services
• Provide data and analysis in support of the MAC’s strategic and operational needs
• Identify research needs and prepare research agenda
• Coordination with third-party evaluator per TIDC grant requirements
• Recommend data-informed policies or initiatives that could substantively improve the Bexar County criminal justice system
• Create and manage a performance measurement, evaluation, and reporting system for the department.
• Respond to data inquiries from internal and external stakeholders
• Design and conduct program evaluations
• Contribute to team efforts within the department
• Coordinate and collaborate with other researchers across County criminal justice system
• In coordination with the MAC Program Manager and Law and Technology Resource Attorney, facilitates the development, implementation, integration and/or modification of the Department’s case assignment and case management systems
• Perform other work as assigned
• Bachelor’s degree in social science, public administration, public affairs, political science, economics, criminology, or related field and five (5) years’ experience in policy analysis, related government analysis, involving quantitative analysis and research techniques in criminal justice, health/human services, or other social science field
• Advanced education or experience may be substituted on a year for year basis
• Proficient in quantitative and qualitative research methods
• Demonstrated ability to work with large data sets
• Skills in problem-solving and policy analysis; skilled at using statistical software such as R, Python, Stata, Tableau, or Power Bi; skills in working collaboratively as an effective team member
• Demonstrated advanced computer skills in MS Office products including Excel to develop and maintain spreadsheets, charts, tables, graphs; MS Word; MS PowerPoint
• Skillful writing and oral communication skills
• Ability to work independently and to manage multiple competing demands
• Strong desire to improve the Bexar County Indigent Defense System
• Applicants selected for interview will be required to submit a writing sample and an example of data work performed
• Must secure and maintain a favorable background investigation and clearance
• Must clear a pre-employment physical
• May be required to work more than 40 hours during the workweek
Preferred Qualifications:
• Post-Graduate degree in public administration, social science, political science, economics, criminology, or related field
• Experience researching public defense or criminal justice
• Experience with surveys, focus groups, or randomized controlled trials
• Experience with data visualization
Working Environment and Physical Demands:
• Working conditions are in an office environment
• Occasionally moves items weighing up to 10 pounds
• Occasionally move about the office
• Frequently communicates with others; must be able to exchange accurate information
• Constantly operates a computer and other office productivity machinery
• Positions self to perform essential functions
• Must be able to remain in a stationary position
Workstations with internet access are available, if needed, to view job postings and apply online at 211 S Flores, San Antonio, TX 78204, 8am – 5pm, Monday through Friday. Phone: 210-335-2545.
EQUAL OPPORTUNITY EMPLOYER
Bexar County is an Equal Opportunity Employer and committed to Workplace Diversity.
We are committed to providing equal opportunity for protected veterans and individuals with disabilities.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Show more details...
via Careers At Apple
posted_at: 28 days agoschedule_type: Full-time
Summary
Posted: Aug 10, 2023
Weekly Hours: 40...
Role Number:200489593
Are you excited about Generative AI and Large Language Models? Are you interested in working on cutting edge generative modeling technologies to enrich billions of people!? We are looking for senior research engineers experienced in training, adapting and deploying large scale ML models with a focus on natural language and multimodal understanding and generation. You will be inventing
Summary
Posted: Aug 10, 2023
Weekly Hours: 40...
Role Number:200489593
Are you excited about Generative AI and Large Language Models? Are you interested in working on cutting edge generative modeling technologies to enrich billions of people!? We are looking for senior research engineers experienced in training, adapting and deploying large scale ML models with a focus on natural language and multimodal understanding and generation. You will be inventing and shipping the next generation of core technologies to enable system wide experience! The mission of Robustness & Safety AI team is to develop core technologies to ensure safety on Apple’s devices and services. This includes technologies to ensure communication safety for our users as well as to ensure ML models and features built on top of generative AI are robust and safe.
The team comprises of domain experts in NLP, Computer Vision, and ML Fairness who contribute to significant system wide safety experience. Our team provides an opportunity to be part of an incredible research and engineering organization focusing on System Intelligent Machine Learning (SIML) within Apple. An ideal candidate will have solid ML fundamentals and ability to turn research contributions into products. Proven experience in Conversation Understanding and Synthesis, Reinforcement and Human Preference Learning, and Large Language Model Training are essential for this role.
SELECTED REFERENCES TO OUR TEAM’S WORK:
Communication Safety & Sensitive Content Warning
https://www.apple.com/newsroom/2023/06/apple-announces-powerful-new-privacy-and-security-features/
Key Qualifications
Key Qualifications
• Strong ML and NLP fundamentals
• Hands on experience training LLMs
• Experience adapting pre-trained LLMs for downstream tasks & human alignment
• Familiarity with distributed training
• Proficiency in using ML toolkits, e.g., PyTorch
• Strong programming skills in Python, C and C++
• You're aware of the challenges associated to the transition of a prototype into a final product
Description
Description
We are seeking a candidate with a proven track record in applied ML research. Responsibilities in the role will include training large scale language and multimodal models on distributed backends, deployment of compact neural architectures such as transformers efficiently on device, and learning policies that can be personalized to the user in a privacy preserving manner. Ensuring quality with an emphasis on fairness and model robustness would constitute an important part of the role. You will be interacting very closely with a variety of ML researchers, software engineers, hardware & design teams cross functionally. Your primary responsibilities will center on enriching conversation understanding capabilities through LLM and multimodal models. The user experience initiative would focus on enriching system safety experience.
Education & Experience
Education & Experience
M.S. or PhD in Electrical Engineering, Computer Science or a related field ie, mathematics, physics or computer engineering with a focus on computer vision and/or machine learning or comparable professional experience.
Additional Requirements
Additional Requirements
Pay & Benefits
Pay & Benefits
• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $170,700 and $256,500, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program Show more details...
Posted: Aug 10, 2023
Weekly Hours: 40...
Role Number:200489593
Are you excited about Generative AI and Large Language Models? Are you interested in working on cutting edge generative modeling technologies to enrich billions of people!? We are looking for senior research engineers experienced in training, adapting and deploying large scale ML models with a focus on natural language and multimodal understanding and generation. You will be inventing and shipping the next generation of core technologies to enable system wide experience! The mission of Robustness & Safety AI team is to develop core technologies to ensure safety on Apple’s devices and services. This includes technologies to ensure communication safety for our users as well as to ensure ML models and features built on top of generative AI are robust and safe.
The team comprises of domain experts in NLP, Computer Vision, and ML Fairness who contribute to significant system wide safety experience. Our team provides an opportunity to be part of an incredible research and engineering organization focusing on System Intelligent Machine Learning (SIML) within Apple. An ideal candidate will have solid ML fundamentals and ability to turn research contributions into products. Proven experience in Conversation Understanding and Synthesis, Reinforcement and Human Preference Learning, and Large Language Model Training are essential for this role.
SELECTED REFERENCES TO OUR TEAM’S WORK:
Communication Safety & Sensitive Content Warning
https://www.apple.com/newsroom/2023/06/apple-announces-powerful-new-privacy-and-security-features/
Key Qualifications
Key Qualifications
• Strong ML and NLP fundamentals
• Hands on experience training LLMs
• Experience adapting pre-trained LLMs for downstream tasks & human alignment
• Familiarity with distributed training
• Proficiency in using ML toolkits, e.g., PyTorch
• Strong programming skills in Python, C and C++
• You're aware of the challenges associated to the transition of a prototype into a final product
Description
Description
We are seeking a candidate with a proven track record in applied ML research. Responsibilities in the role will include training large scale language and multimodal models on distributed backends, deployment of compact neural architectures such as transformers efficiently on device, and learning policies that can be personalized to the user in a privacy preserving manner. Ensuring quality with an emphasis on fairness and model robustness would constitute an important part of the role. You will be interacting very closely with a variety of ML researchers, software engineers, hardware & design teams cross functionally. Your primary responsibilities will center on enriching conversation understanding capabilities through LLM and multimodal models. The user experience initiative would focus on enriching system safety experience.
Education & Experience
Education & Experience
M.S. or PhD in Electrical Engineering, Computer Science or a related field ie, mathematics, physics or computer engineering with a focus on computer vision and/or machine learning or comparable professional experience.
Additional Requirements
Additional Requirements
Pay & Benefits
Pay & Benefits
• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $170,700 and $256,500, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program Show more details...
via Careers At Apple
schedule_type: Full-time
Summary
Posted: May 15, 2023
Weekly Hours: 40...
Role Number:200477238
Do you believe generative models can transform creative workflows and smart assistants used by billions? Do you believe it can fundamentally shift how people interact with devices and communicate?
We truly believe it can! We are looking for senior technical leaders experienced in architecting and deploying production scale multimodal ML. An ideal candidate has the ability to
Summary
Posted: May 15, 2023
Weekly Hours: 40...
Role Number:200477238
Do you believe generative models can transform creative workflows and smart assistants used by billions? Do you believe it can fundamentally shift how people interact with devices and communicate?
We truly believe it can! We are looking for senior technical leaders experienced in architecting and deploying production scale multimodal ML. An ideal candidate has the ability to lead diverse cross functional efforts ranging from ML modeling, prototyping, validation and private learning. Solid ML fundamentals and an ability to place research contributions with respect to state of the art would be an essential part of the role. Experience with training and adapting large language models would be an important need.
We are the Intelligence System Experience (ISE) team within Apple’s software organization. The team works at the intersection between multimodal machine learning and system experiences. System Experience (Springboard, Settings), Keyboards, Pencil & Paper, Shortcuts are some of the experiences that the team oversees. These experiences that our users enjoy are backed by production scale ML workflows. Visual Understanding of People, Text, Handwriting & Scenes, multilingual NLP for writing workflows & knowledge extraction, behavioral modeling for proactive suggestions, and privacy preserving learning are areas our multi disciplinary ML teams focus on.
SELECTED REFERENCES TO OUR TEAM’S WORK:
- https://machinelearning.apple.com/research/stable-diffusion-coreml-apple-silicon (https://machinelearning.apple.com/research/stable-diffusion-coreml-apple-silicon)
- https://machinelearning.apple.com/research/on-device-scene-analysis (https://machinelearning.apple.com/research/on-device-scene-analysis)
- https://machinelearning.apple.com/research/panoptic-segmentation (https://machinelearning.apple.com/research/panoptic-segmentation)
Key Qualifications
Key Qualifications
• Hands on experience training LLMs
• Experience adapting pre-trained LLMs for downstream tasks & human alignment
• Modeling experience at the intersection of NLP and vision
• Familiarity with distributed training
• Proficiency in ML toolkit of choice, e.g., PyTorch
• Strong programming skills in Python, C and C++
Description
Description
We are looking for a candidate with a proven track record in applied ML research. Responsibilities in the role will include training large scale multimodal (2D/3D vision-language) models on distributed backends, deployment of compact neural architectures efficiently on device, and learning policies that can be personalized to the user in a privacy preserving manner. Ensuring quality in the wild, with an emphasis on fairness and model robustness would constitute an important part of the role. You will be interacting very closely with a variety of ML researchers, software engineers, hardware & design teams cross functionally. The primary responsibilities of the role would center on enriching multimodal capabilities of large language models. The user experience initiative would focus on aligning image/video content to the space of LMs for visual actions & multi-turn interactions.
Education & Experience
Education & Experience
M.S. or PhD in Computer Science, or a related fields such as Electrical Engineering, Robotics, Statistics, Applied Mathematics or equivalent experience.
Additional Requirements
Additional Requirements
Pay & Benefits
Pay & Benefits
• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $199,800 and $300,200, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program Show more details...
Posted: May 15, 2023
Weekly Hours: 40...
Role Number:200477238
Do you believe generative models can transform creative workflows and smart assistants used by billions? Do you believe it can fundamentally shift how people interact with devices and communicate?
We truly believe it can! We are looking for senior technical leaders experienced in architecting and deploying production scale multimodal ML. An ideal candidate has the ability to lead diverse cross functional efforts ranging from ML modeling, prototyping, validation and private learning. Solid ML fundamentals and an ability to place research contributions with respect to state of the art would be an essential part of the role. Experience with training and adapting large language models would be an important need.
We are the Intelligence System Experience (ISE) team within Apple’s software organization. The team works at the intersection between multimodal machine learning and system experiences. System Experience (Springboard, Settings), Keyboards, Pencil & Paper, Shortcuts are some of the experiences that the team oversees. These experiences that our users enjoy are backed by production scale ML workflows. Visual Understanding of People, Text, Handwriting & Scenes, multilingual NLP for writing workflows & knowledge extraction, behavioral modeling for proactive suggestions, and privacy preserving learning are areas our multi disciplinary ML teams focus on.
SELECTED REFERENCES TO OUR TEAM’S WORK:
- https://machinelearning.apple.com/research/stable-diffusion-coreml-apple-silicon (https://machinelearning.apple.com/research/stable-diffusion-coreml-apple-silicon)
- https://machinelearning.apple.com/research/on-device-scene-analysis (https://machinelearning.apple.com/research/on-device-scene-analysis)
- https://machinelearning.apple.com/research/panoptic-segmentation (https://machinelearning.apple.com/research/panoptic-segmentation)
Key Qualifications
Key Qualifications
• Hands on experience training LLMs
• Experience adapting pre-trained LLMs for downstream tasks & human alignment
• Modeling experience at the intersection of NLP and vision
• Familiarity with distributed training
• Proficiency in ML toolkit of choice, e.g., PyTorch
• Strong programming skills in Python, C and C++
Description
Description
We are looking for a candidate with a proven track record in applied ML research. Responsibilities in the role will include training large scale multimodal (2D/3D vision-language) models on distributed backends, deployment of compact neural architectures efficiently on device, and learning policies that can be personalized to the user in a privacy preserving manner. Ensuring quality in the wild, with an emphasis on fairness and model robustness would constitute an important part of the role. You will be interacting very closely with a variety of ML researchers, software engineers, hardware & design teams cross functionally. The primary responsibilities of the role would center on enriching multimodal capabilities of large language models. The user experience initiative would focus on aligning image/video content to the space of LMs for visual actions & multi-turn interactions.
Education & Experience
Education & Experience
M.S. or PhD in Computer Science, or a related fields such as Electrical Engineering, Robotics, Statistics, Applied Mathematics or equivalent experience.
Additional Requirements
Additional Requirements
Pay & Benefits
Pay & Benefits
• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $199,800 and $300,200, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program Show more details...
via Careers At Apple
schedule_type: Full-time
Summary
Posted: Feb 28, 2023
...
Role Number:200466207
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! Join us to help deliver system design of next generation wireless solutions by groundbreaking AI/ML techniques. Do you love working on challenges that no one
Summary
Posted: Feb 28, 2023
...
Role Number:200466207
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! Join us to help deliver system design of next generation wireless solutions by groundbreaking AI/ML techniques. Do you love working on challenges that no one has solved yet? As a member of our dynamic R&D group, you will experience the unique and rewarding opportunity to craft next generation wireless technologies that will generate deep impact on future Apple products and inspire global Apple’s customers every single day. Wireless and AI/ML technologies have become a crucial part in all Apple devices that delight our customers. In our unit, our mission is to research and develop AI/ML based cellular wireless technology for our products. We are looking for expert and highly self-motivated machine learning engineers. You will participate on defining system level ideas, proposing, and developing innovative concepts & algorithms, performing sophisticated system simulations, and working on prototyping platforms to quickly prove your ideas for current and next generation (5G/6G) cellular systems via innovative AI/ML paths.
Key Qualifications
Key Qualifications
• Research experience on solving interdisciplinary problems via technologies based on Artificial Intelligence and Machine Learning (AI/ML).
• Publications in prestigious machine learning conferences/journals such as ICML, NeurIPS, JMLR, ICLR, ACL, and CVPR.
• Solid mathematical foundation including Linear Algebra, Probability Theory and Statistics, Estimation Theory, and Information Theory.
• Working knowledge in Algorithms, Optimization, and Object Oriented Programming.
• Deep understandings of classical neural network architectures and learning methods such as CNN, RNN, Graph Neural Networks, Self-supervised Learning, Transformer, Federated Learning, Reinforcement Learning, and GAN.
• Experience on prototyping AI/ML concepts via hardware/software, model analysis, and developing varied perspectives to solve problems.
• Abilities to make independent contributions as well as promote team collaboration.
• Good programming and code management skills.
• Familiarity with ML frameworks such as PyTorch and TensorFlow
Description
Description
- Participate in the development of innovative machine learning solutions for wireless systems.
- Contribute to AI/ML hardware/software framework design.
- Defining new problem statements and novel solutions by taking a top-down approach towards system design starting from use case and relevance study to Apple products.
- Quick deployment of promising new ides as as well setting up large scale tests.
- Create new experiments to help with prototyping and new architecture designs that will further develop into large scale solutions for real world
Education & Experience
Education & Experience
BS and 10+ years of relevant experience.
Additional Requirements
Additional Requirements
Pay & Benefits
Pay & Benefits
• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $161,700 and $284,900, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program Show more details...
Posted: Feb 28, 2023
...
Role Number:200466207
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! Join us to help deliver system design of next generation wireless solutions by groundbreaking AI/ML techniques. Do you love working on challenges that no one has solved yet? As a member of our dynamic R&D group, you will experience the unique and rewarding opportunity to craft next generation wireless technologies that will generate deep impact on future Apple products and inspire global Apple’s customers every single day. Wireless and AI/ML technologies have become a crucial part in all Apple devices that delight our customers. In our unit, our mission is to research and develop AI/ML based cellular wireless technology for our products. We are looking for expert and highly self-motivated machine learning engineers. You will participate on defining system level ideas, proposing, and developing innovative concepts & algorithms, performing sophisticated system simulations, and working on prototyping platforms to quickly prove your ideas for current and next generation (5G/6G) cellular systems via innovative AI/ML paths.
Key Qualifications
Key Qualifications
• Research experience on solving interdisciplinary problems via technologies based on Artificial Intelligence and Machine Learning (AI/ML).
• Publications in prestigious machine learning conferences/journals such as ICML, NeurIPS, JMLR, ICLR, ACL, and CVPR.
• Solid mathematical foundation including Linear Algebra, Probability Theory and Statistics, Estimation Theory, and Information Theory.
• Working knowledge in Algorithms, Optimization, and Object Oriented Programming.
• Deep understandings of classical neural network architectures and learning methods such as CNN, RNN, Graph Neural Networks, Self-supervised Learning, Transformer, Federated Learning, Reinforcement Learning, and GAN.
• Experience on prototyping AI/ML concepts via hardware/software, model analysis, and developing varied perspectives to solve problems.
• Abilities to make independent contributions as well as promote team collaboration.
• Good programming and code management skills.
• Familiarity with ML frameworks such as PyTorch and TensorFlow
Description
Description
- Participate in the development of innovative machine learning solutions for wireless systems.
- Contribute to AI/ML hardware/software framework design.
- Defining new problem statements and novel solutions by taking a top-down approach towards system design starting from use case and relevance study to Apple products.
- Quick deployment of promising new ides as as well setting up large scale tests.
- Create new experiments to help with prototyping and new architecture designs that will further develop into large scale solutions for real world
Education & Experience
Education & Experience
BS and 10+ years of relevant experience.
Additional Requirements
Additional Requirements
Pay & Benefits
Pay & Benefits
• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $161,700 and $284,900, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program Show more details...
via Careers At Apple
schedule_type: Full-time
Summary
Posted: Jul 11, 2023
Weekly Hours: 40...
Role Number:200490373
In the Camera Algorithms team, we are looking for passionate, self-driven computer vision/computational photography research engineers who enjoy both innovating down to the details and collaborating with broader cross-functional teams to bring exciting new imaging technology to our Apple products. We have worked on many core algorithms in the Apple camera imaging pipeline like
Summary
Posted: Jul 11, 2023
Weekly Hours: 40...
Role Number:200490373
In the Camera Algorithms team, we are looking for passionate, self-driven computer vision/computational photography research engineers who enjoy both innovating down to the details and collaborating with broader cross-functional teams to bring exciting new imaging technology to our Apple products. We have worked on many core algorithms in the Apple camera imaging pipeline like DeepFusion, Photonic Engine, SmartHDR, and Panorama. In this role, you will research and develop novel machine learning techniques for various image restoration and image fusion applications and contribute to shipping the most popular camera in the world.
Key Qualifications
Key Qualifications
• Demonstrated ability in developing machine learning algorithms for computational photography/computer vision and image processing problems
• Extensive knowledge in camera processing pipeline, classical computer vision, and classical computational photography techniques
• Experience with deep learning techniques for image restoration and image fusion applications (denoising/demosaicing/super-resolution)
• Strong coding skills in Python; experience in C/C++ a big plus
• Experience with deep learning frameworks like PyTorch or TensorFlow
• Excellent verbal and written communication skills
• Creativity and curiosity for solving complex problems
Description
Description
As a machine learning research engineer on our team, you will contribute to algorithm design and implementation. You will develop and train deep learning models and collaborate with cross-functional teams like camera hardware, firmware, GPU, and image quality teams to bring your innovate ideas to product. We are seeking an innovative and inquisitive engineer who can leverage their knowledge of classical computer vision and computational photography techniques to build deep learning models that help us design the next generation Apple camera imaging pipeline.
Education & Experience
Education & Experience
MS/PhD in Computer Vision, Machine Learning, Computer Science, Electrical Engineering or related fields.
Additional Requirements
Additional Requirements
Pay & Benefits
Pay & Benefits
• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $138,900 and $256,500, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program Show more details...
Posted: Jul 11, 2023
Weekly Hours: 40...
Role Number:200490373
In the Camera Algorithms team, we are looking for passionate, self-driven computer vision/computational photography research engineers who enjoy both innovating down to the details and collaborating with broader cross-functional teams to bring exciting new imaging technology to our Apple products. We have worked on many core algorithms in the Apple camera imaging pipeline like DeepFusion, Photonic Engine, SmartHDR, and Panorama. In this role, you will research and develop novel machine learning techniques for various image restoration and image fusion applications and contribute to shipping the most popular camera in the world.
Key Qualifications
Key Qualifications
• Demonstrated ability in developing machine learning algorithms for computational photography/computer vision and image processing problems
• Extensive knowledge in camera processing pipeline, classical computer vision, and classical computational photography techniques
• Experience with deep learning techniques for image restoration and image fusion applications (denoising/demosaicing/super-resolution)
• Strong coding skills in Python; experience in C/C++ a big plus
• Experience with deep learning frameworks like PyTorch or TensorFlow
• Excellent verbal and written communication skills
• Creativity and curiosity for solving complex problems
Description
Description
As a machine learning research engineer on our team, you will contribute to algorithm design and implementation. You will develop and train deep learning models and collaborate with cross-functional teams like camera hardware, firmware, GPU, and image quality teams to bring your innovate ideas to product. We are seeking an innovative and inquisitive engineer who can leverage their knowledge of classical computer vision and computational photography techniques to build deep learning models that help us design the next generation Apple camera imaging pipeline.
Education & Experience
Education & Experience
MS/PhD in Computer Vision, Machine Learning, Computer Science, Electrical Engineering or related fields.
Additional Requirements
Additional Requirements
Pay & Benefits
Pay & Benefits
• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $138,900 and $256,500, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program Show more details...
via Careers At Apple
schedule_type: Full-time
Summary
Posted: Jul 28, 2023
Weekly Hours: 40...
Role Number:200402289
The Health Technologies Team conceives and proves out exciting new technology for Apple’s future products and features. We are seeking a highly collaborative engineer to join an interdisciplinary team to help drive feasibility of health, wellness, and fitness sensors, systems, and applications.
Key Qualifications
Key Qualifications
• Mechanical design for consumer electronic
Summary
Posted: Jul 28, 2023
Weekly Hours: 40...
Role Number:200402289
The Health Technologies Team conceives and proves out exciting new technology for Apple’s future products and features. We are seeking a highly collaborative engineer to join an interdisciplinary team to help drive feasibility of health, wellness, and fitness sensors, systems, and applications.
Key Qualifications
Key Qualifications
• Mechanical design for consumer electronic devices
• Experience designing, manufacturing, and troubleshooting early prototype hardware
• Exposure to analog electronics, preferably mechatronic systems utilizing actuators, temperature sensors, strain gauges, or photodiodes
• Academic or Industrial research related to health/physiological signal sensing
• Intellectual versatility - we typically work on new technology and features, which means we are constantly learning about new domains
Description
Description
The Health Technologies Mechanical Engineering team contributes to Apple’s health efforts in three key areas: Physiological Research, Hardware prototype development, and Human studies. This role’s primary responsibilities are:
Understanding needs of electromechanical sensor architectures and turning them into system requirements;
Fabricating hardware prototypes and test systems for both bench testing and user studies that satisfy such requirements;
Working with cross-functional teams to collect sensor and system performance data and interpret results.
Typical fabrication techniques utilized will be: Machining, rapid prototyping, laser cutting, flexible/rigid printed circuit processes, roll to roll thin film techniques, and vapor deposition. Experience with all of these domains is highly sought, but not required. Preference will be given to candidates who possess both electronics and mechanical fabrication expertise.
Travel of up to 20% time will be required. This will typically be between San Diego and Santa Clara Valley locations. Site visits to domestic and international manufacturing partners will also occur as needed.
Education & Experience
Education & Experience
Bachelor’s or Master’s Degree +2 years professional experience
PhD or equivalent
Additional Requirements
Additional Requirements
Pay & Benefits
Pay & Benefits
• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $109,000 and $189,500 annualized, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program Show more details...
Posted: Jul 28, 2023
Weekly Hours: 40...
Role Number:200402289
The Health Technologies Team conceives and proves out exciting new technology for Apple’s future products and features. We are seeking a highly collaborative engineer to join an interdisciplinary team to help drive feasibility of health, wellness, and fitness sensors, systems, and applications.
Key Qualifications
Key Qualifications
• Mechanical design for consumer electronic devices
• Experience designing, manufacturing, and troubleshooting early prototype hardware
• Exposure to analog electronics, preferably mechatronic systems utilizing actuators, temperature sensors, strain gauges, or photodiodes
• Academic or Industrial research related to health/physiological signal sensing
• Intellectual versatility - we typically work on new technology and features, which means we are constantly learning about new domains
Description
Description
The Health Technologies Mechanical Engineering team contributes to Apple’s health efforts in three key areas: Physiological Research, Hardware prototype development, and Human studies. This role’s primary responsibilities are:
Understanding needs of electromechanical sensor architectures and turning them into system requirements;
Fabricating hardware prototypes and test systems for both bench testing and user studies that satisfy such requirements;
Working with cross-functional teams to collect sensor and system performance data and interpret results.
Typical fabrication techniques utilized will be: Machining, rapid prototyping, laser cutting, flexible/rigid printed circuit processes, roll to roll thin film techniques, and vapor deposition. Experience with all of these domains is highly sought, but not required. Preference will be given to candidates who possess both electronics and mechanical fabrication expertise.
Travel of up to 20% time will be required. This will typically be between San Diego and Santa Clara Valley locations. Site visits to domestic and international manufacturing partners will also occur as needed.
Education & Experience
Education & Experience
Bachelor’s or Master’s Degree +2 years professional experience
PhD or equivalent
Additional Requirements
Additional Requirements
Pay & Benefits
Pay & Benefits
• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $109,000 and $189,500 annualized, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program Show more details...
via Salary.com
schedule_type: Full-time
Summary
Posted: Nov 10, 2022
Weekly Hours: 40...
Role Number:200441485
At Apple, novel research ideas have a way of becoming extraordinary products, services, and customer experiences quickly. Here is your opportunity to be part of an incredible research and engineering team building the next-generation of sophisticated algorithms for the iPhone, Mac, Apple Watch, iPad and more.
The vision for the Proactive Intelligence organization is to improve
Summary
Posted: Nov 10, 2022
Weekly Hours: 40...
Role Number:200441485
At Apple, novel research ideas have a way of becoming extraordinary products, services, and customer experiences quickly. Here is your opportunity to be part of an incredible research and engineering team building the next-generation of sophisticated algorithms for the iPhone, Mac, Apple Watch, iPad and more.
The vision for the Proactive Intelligence organization is to improve Apple platforms by better understanding, anticipating, and adapting to user behavior by using machine learning to build phenomenal features that are built right into Apple platforms. We are looking for inquisitive and creative applied research scientists with expertise in ML and a particular focus on Natural Language Processing (NLP), Program Synthesis, Sequence Modeling, Privacy-Preserving ML (PPML), and Distributed Machine Learning. Working knowledge of large-scale data processing especially with structured data, probabilistic modeling, statistics and embedded programming will broaden your role and effectiveness in this position.
Key Qualifications
• Strong background in Deep Learning and classical Machine Learning, including one or more of the following areas of expertise: sequence modeling/NLP, program synthesis, generative models, processing structured data such as relational graphs, privacy-preserving machine learning, and distributed algorithms.
• Track record of coming up with new ML ideas, as shown by publications, patents or open-source projects
• Experience with one or more Deep Learning packages including but not limited to TensorFlow and PyTorch
• Proficiency in Python programming
• Background that fuses research, engineering, and product thinking, as demonstrated by practical experience of shipping algorithms for measurement, evaluation, control and processing to improve products.
Description
We're looking for sensible and creative scientists with a strong background in ML. Your passion for leading powerful technologies will be essential to your project and a key component to our team of world-class engineers and designers who are driven to create the next big thing using machine learning. Join us to enhance the lives of hundreds of millions of people around the world! You will contribute to advanced algorithms that transform data and relational graphs into interpretable information that feed into elegant applications that delight, connect, and encourage Apple users all around the world to be more productive. The emphasis will be to work on the edge of creative technologies and highly impactful ML problems that will help improve our users' experience. More specifically, you will: Design and implement ML algorithms that process data in different Apple products. Deploy those algorithms and establish scalable, efficient, automated processes for large-scale data analyses, model development and model validation. Communicate advanced ideas to a focused team. Develop innovative tools and metrics that change the way we look at problems. Join a thriving Machine Learning community at Apple (https://machinelearning.apple.com) Work multi-functionally and with the Proactive Intelligence leadership team, to devise data insights and reporting standard methodologies that guide the development of current and new intelligent experiences across iPhone, iPad, HomePod, Mac, Watch and TV!
Education & Experience
Ph.D. degree in CS (preferred), or other STEM fields such as EE or Statistics with 3 years of proven experience or M.S. in CS with 5 years of demonstrated ability in research and development of machine learning algorithms.
Additional Requirements
Pay & Benefits
• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $161,000 and $278,000, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program Show more details...
Posted: Nov 10, 2022
Weekly Hours: 40...
Role Number:200441485
At Apple, novel research ideas have a way of becoming extraordinary products, services, and customer experiences quickly. Here is your opportunity to be part of an incredible research and engineering team building the next-generation of sophisticated algorithms for the iPhone, Mac, Apple Watch, iPad and more.
The vision for the Proactive Intelligence organization is to improve Apple platforms by better understanding, anticipating, and adapting to user behavior by using machine learning to build phenomenal features that are built right into Apple platforms. We are looking for inquisitive and creative applied research scientists with expertise in ML and a particular focus on Natural Language Processing (NLP), Program Synthesis, Sequence Modeling, Privacy-Preserving ML (PPML), and Distributed Machine Learning. Working knowledge of large-scale data processing especially with structured data, probabilistic modeling, statistics and embedded programming will broaden your role and effectiveness in this position.
Key Qualifications
• Strong background in Deep Learning and classical Machine Learning, including one or more of the following areas of expertise: sequence modeling/NLP, program synthesis, generative models, processing structured data such as relational graphs, privacy-preserving machine learning, and distributed algorithms.
• Track record of coming up with new ML ideas, as shown by publications, patents or open-source projects
• Experience with one or more Deep Learning packages including but not limited to TensorFlow and PyTorch
• Proficiency in Python programming
• Background that fuses research, engineering, and product thinking, as demonstrated by practical experience of shipping algorithms for measurement, evaluation, control and processing to improve products.
Description
We're looking for sensible and creative scientists with a strong background in ML. Your passion for leading powerful technologies will be essential to your project and a key component to our team of world-class engineers and designers who are driven to create the next big thing using machine learning. Join us to enhance the lives of hundreds of millions of people around the world! You will contribute to advanced algorithms that transform data and relational graphs into interpretable information that feed into elegant applications that delight, connect, and encourage Apple users all around the world to be more productive. The emphasis will be to work on the edge of creative technologies and highly impactful ML problems that will help improve our users' experience. More specifically, you will: Design and implement ML algorithms that process data in different Apple products. Deploy those algorithms and establish scalable, efficient, automated processes for large-scale data analyses, model development and model validation. Communicate advanced ideas to a focused team. Develop innovative tools and metrics that change the way we look at problems. Join a thriving Machine Learning community at Apple (https://machinelearning.apple.com) Work multi-functionally and with the Proactive Intelligence leadership team, to devise data insights and reporting standard methodologies that guide the development of current and new intelligent experiences across iPhone, iPad, HomePod, Mac, Watch and TV!
Education & Experience
Ph.D. degree in CS (preferred), or other STEM fields such as EE or Statistics with 3 years of proven experience or M.S. in CS with 5 years of demonstrated ability in research and development of machine learning algorithms.
Additional Requirements
Pay & Benefits
• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $161,000 and $278,000, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program Show more details...
via LinkedIn
posted_at: 14 days agoschedule_type: Full-timesalary: 130K–150K a year
SENIOR RESEARCH & DEVELOPMENT MANAGER OPENING WITH A LARGE FROZEN FOOD MANUFACTURING PLANT IN ONTARIO CA. LOOKING FOR A STRONG R&D MANAGER OUT OF FOOD MANUFACTURING AND A FOOD SCIENCE DEGREE. MUST HAVE A BACHELOR'S DEGREE IN FOOD SCIENCE.
SALARY RANGE : 125-150K WITH 20% BONUS AND 3 WEEKS VACATION...
MULTI SITE EXPERIENCE IS A HUGE PLUS AS WELL.
R&D Project Management
The individual will oversee a variety of initiatives, including but not limited
SENIOR RESEARCH & DEVELOPMENT MANAGER OPENING WITH A LARGE FROZEN FOOD MANUFACTURING PLANT IN ONTARIO CA. LOOKING FOR A STRONG R&D MANAGER OUT OF FOOD MANUFACTURING AND A FOOD SCIENCE DEGREE. MUST HAVE A BACHELOR'S DEGREE IN FOOD SCIENCE.
SALARY RANGE : 125-150K WITH 20% BONUS AND 3 WEEKS VACATION...
MULTI SITE EXPERIENCE IS A HUGE PLUS AS WELL.
R&D Project Management
The individual will oversee a variety of initiatives, including but not limited to managing multiple projects, developing new products, implementing ongoing quality improvement measures, transferring production, enhancing profitability, and advancing technology within the assigned product category.
Is responsible for overseeing project execution and collaborating with cross-functional departments to ensure successful outcomes.
Develops a comprehensive strategy for the advancement of specialty products and technology, with a focus on enhancing profitability. Presents the strategy and execution plan to the Director or Senior Director for review and approval.
Innovation and Quality Improvement:
Oversees the development of new products and ensures that quality is consistently improved to align with the company's or customers' specifications; by judiciously allocating resources such as ingredients, production tools, processes, and personnel, this is possible.
Works alongside sales, marketing, and service customer representatives to provide guidance on new product requirements and specifications, target product excellence, and customer grievances.
Oversees and actively participates in various facets of product development, including but not limited to conducting cost analyses, designing packaging, coordinating photo shoots, and engaging in research and development initiatives.
Develops innovative product samples for internal testing and to furnish prototypes for prospective clients.
Leads rigorous product testing in a state-of-the-art test kitchen, utilizing advanced laboratory techniques to develop precise processing methods. Finalizes these procedures through comprehensive CP tests in the production plant.
Consistently engages in meetings with vendors to procure and deliberate on new product ingredients and packaging.
Creates and executes methodologies and protocols to oversee projects, including the compilation of financial records, research outcomes, advancement updates, and personnel meetings to apprise leadership of project status.
Adheres to the NPI protocol and formulates recipes, processes, production product control sheets, and production method procedures for endorsement in product evaluation.
As a technical support specialist, they are responsible for leading the presentation of new technology and goods to our customers. This involves providing technical assistance upon request from the marketing department.
Technology Advancement:
Creates technology development strategy in assigned category from long term view.
Researches and develops methods and processes to improve quality of foods such as flavor, color, texture, nutritional value, convenience, or physical, chemical, and microbiological composition of foods.
Confers with process engineers, flavor experts, and packaging and marketing specialists to develop core technology
Product Transfers:
• Contributes to planning, strategizing, and coordinating production transfer projects.
• Helps manage all related department’s efforts in executing and performing product transfers.
Profit Improvement:
• Creates profitable improvement plan of assigned product category from the view of reformulating, simplifying process, material consolidation, then proposes to cross-functional departments.
• Analyze cost saving strategies, while identifying where cost reductions can be achieved, creating and implementing cost saving plans, and monitoring results to ensure targets are met.
• Prioritizes profit improvement plans and executes to contribute total deliver cost goals.
Team Member Education and Training:
• Utilizing data will provide feedback and evaluate team performance
• Provide guidance, education, and training opportunities to team members.
• Provide feedback and ideas to support innovation and growth
• Ensure the safety and compliance of the research and development process.
Other Miscellaneous: Able to perform other tasks that are directly or indirectly related to the above responsibilities like sample shipments, presentations, tests, demos, and so forth in order to achieve departmental and company goals.
Qualifications:
• 8-10 ten years of demonstrated accomplishments in product development, preferably in a multi sales channel environment. Value-added Frozen Foods experience is a plus but not a requirement for the position.
• B.S. in Food Science or a related technical degree is required.
• Strong communication skills (verbal and written) with individuals at all levels within the organization and outside the organization.
• Needs to be a self-starter, goal-oriented, focused and flexible Must be computer literate
• Must have a valid driver’s license
• Culinary Experience is a plus
• Must be willing to taste food products including food animal products.
• Should be open and available to travel an average of 25% annually dependent on business a project needs Show more details...
SALARY RANGE : 125-150K WITH 20% BONUS AND 3 WEEKS VACATION...
MULTI SITE EXPERIENCE IS A HUGE PLUS AS WELL.
R&D Project Management
The individual will oversee a variety of initiatives, including but not limited to managing multiple projects, developing new products, implementing ongoing quality improvement measures, transferring production, enhancing profitability, and advancing technology within the assigned product category.
Is responsible for overseeing project execution and collaborating with cross-functional departments to ensure successful outcomes.
Develops a comprehensive strategy for the advancement of specialty products and technology, with a focus on enhancing profitability. Presents the strategy and execution plan to the Director or Senior Director for review and approval.
Innovation and Quality Improvement:
Oversees the development of new products and ensures that quality is consistently improved to align with the company's or customers' specifications; by judiciously allocating resources such as ingredients, production tools, processes, and personnel, this is possible.
Works alongside sales, marketing, and service customer representatives to provide guidance on new product requirements and specifications, target product excellence, and customer grievances.
Oversees and actively participates in various facets of product development, including but not limited to conducting cost analyses, designing packaging, coordinating photo shoots, and engaging in research and development initiatives.
Develops innovative product samples for internal testing and to furnish prototypes for prospective clients.
Leads rigorous product testing in a state-of-the-art test kitchen, utilizing advanced laboratory techniques to develop precise processing methods. Finalizes these procedures through comprehensive CP tests in the production plant.
Consistently engages in meetings with vendors to procure and deliberate on new product ingredients and packaging.
Creates and executes methodologies and protocols to oversee projects, including the compilation of financial records, research outcomes, advancement updates, and personnel meetings to apprise leadership of project status.
Adheres to the NPI protocol and formulates recipes, processes, production product control sheets, and production method procedures for endorsement in product evaluation.
As a technical support specialist, they are responsible for leading the presentation of new technology and goods to our customers. This involves providing technical assistance upon request from the marketing department.
Technology Advancement:
Creates technology development strategy in assigned category from long term view.
Researches and develops methods and processes to improve quality of foods such as flavor, color, texture, nutritional value, convenience, or physical, chemical, and microbiological composition of foods.
Confers with process engineers, flavor experts, and packaging and marketing specialists to develop core technology
Product Transfers:
• Contributes to planning, strategizing, and coordinating production transfer projects.
• Helps manage all related department’s efforts in executing and performing product transfers.
Profit Improvement:
• Creates profitable improvement plan of assigned product category from the view of reformulating, simplifying process, material consolidation, then proposes to cross-functional departments.
• Analyze cost saving strategies, while identifying where cost reductions can be achieved, creating and implementing cost saving plans, and monitoring results to ensure targets are met.
• Prioritizes profit improvement plans and executes to contribute total deliver cost goals.
Team Member Education and Training:
• Utilizing data will provide feedback and evaluate team performance
• Provide guidance, education, and training opportunities to team members.
• Provide feedback and ideas to support innovation and growth
• Ensure the safety and compliance of the research and development process.
Other Miscellaneous: Able to perform other tasks that are directly or indirectly related to the above responsibilities like sample shipments, presentations, tests, demos, and so forth in order to achieve departmental and company goals.
Qualifications:
• 8-10 ten years of demonstrated accomplishments in product development, preferably in a multi sales channel environment. Value-added Frozen Foods experience is a plus but not a requirement for the position.
• B.S. in Food Science or a related technical degree is required.
• Strong communication skills (verbal and written) with individuals at all levels within the organization and outside the organization.
• Needs to be a self-starter, goal-oriented, focused and flexible Must be computer literate
• Must have a valid driver’s license
• Culinary Experience is a plus
• Must be willing to taste food products including food animal products.
• Should be open and available to travel an average of 25% annually dependent on business a project needs Show more details...
via Careers At Apple
schedule_type: Full-time
Summary
Posted: Apr 12, 2023
...
Role Number:200474372
“Hey Siri, let’s work together at Apple!“ The Siri team is looking for Machine Learning Engineers passionate about enabling natural Siri interactions and delivering such technology to users on a global scale. Build end-to-end model training and evaluation pipelines. Push the envelope on the latest research developments in speech and speaker recognition. Deploy machine-learned, on-device
Summary
Posted: Apr 12, 2023
...
Role Number:200474372
“Hey Siri, let’s work together at Apple!“ The Siri team is looking for Machine Learning Engineers passionate about enabling natural Siri interactions and delivering such technology to users on a global scale. Build end-to-end model training and evaluation pipelines. Push the envelope on the latest research developments in speech and speaker recognition. Deploy machine-learned, on-device models that are aligned with the core values of Apple, ensuring the highest standards of quality, innovation, and respect for user privacy. And work with the people who created the intelligent assistant that helps millions of people around the world get things done through natural interactions with Siri. You should be creative, hard working, and ready to communicate and collaborate with multiple teams.
Key Qualifications
Key Qualifications
• Strong coding skills in Python, C/C++; Comfortable with frequent, incremental code testing and deployment
• Strong background in applied machine learning and deep learning; experience in speech, speaker, and/or language recognition a plus
• Proficiency in deep learning / machine learning frameworks (e.g., PyTorch, TensorFlow) and scripting languages (e.g., Python, bash), with strong software engineering fundamentals and an interest in optimizing and scaling systems globally
• Demonstrated strength in handling technical uncertainty and collaborating with partner teams to solve complex machine learning modeling problems
Description
Description
You will be part of a team whose focus is on applied machine learning, on building and deploying models that constantly advance the state-of-the-art. But that is only half the story! In our team, we own products and user experiences end-to-end. We measure the impact of our deployed models not just on offline test sets, but also on production traffic. We optimize error rates on existing data. We also define new metrics and apply them to the data that best represents the next feature we ship. And we are sometimes constrained by the limits of on-device computation — that is where your ability to innovate will be most impactful. You will collaborate with many dynamic, cross-functional teams consisting of software engineers and machine learning engineers/scientists. The ideal candidate will excel in both academic rigor and engineering efficacy, staying up-to-date with the latest research advancements as well as delivering reliable and robust models to all devices for all users around the world. If you are passionate about building outstanding products and using the full spectrum of your skills to extend the core technology that lets Siri, personalize, and interact in new and exciting ways, then we cannot wait to hear from you.
Education & Experience
Education & Experience
Ph. D. in a Machine Learning or related field, or M.S. with 3+ experiences in the area of Speech/Language Processing or Machine Learning
Additional Requirements
Additional Requirements
Pay & Benefits
Pay & Benefits
• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $131,500 and $243,300, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program Show more details...
Posted: Apr 12, 2023
...
Role Number:200474372
“Hey Siri, let’s work together at Apple!“ The Siri team is looking for Machine Learning Engineers passionate about enabling natural Siri interactions and delivering such technology to users on a global scale. Build end-to-end model training and evaluation pipelines. Push the envelope on the latest research developments in speech and speaker recognition. Deploy machine-learned, on-device models that are aligned with the core values of Apple, ensuring the highest standards of quality, innovation, and respect for user privacy. And work with the people who created the intelligent assistant that helps millions of people around the world get things done through natural interactions with Siri. You should be creative, hard working, and ready to communicate and collaborate with multiple teams.
Key Qualifications
Key Qualifications
• Strong coding skills in Python, C/C++; Comfortable with frequent, incremental code testing and deployment
• Strong background in applied machine learning and deep learning; experience in speech, speaker, and/or language recognition a plus
• Proficiency in deep learning / machine learning frameworks (e.g., PyTorch, TensorFlow) and scripting languages (e.g., Python, bash), with strong software engineering fundamentals and an interest in optimizing and scaling systems globally
• Demonstrated strength in handling technical uncertainty and collaborating with partner teams to solve complex machine learning modeling problems
Description
Description
You will be part of a team whose focus is on applied machine learning, on building and deploying models that constantly advance the state-of-the-art. But that is only half the story! In our team, we own products and user experiences end-to-end. We measure the impact of our deployed models not just on offline test sets, but also on production traffic. We optimize error rates on existing data. We also define new metrics and apply them to the data that best represents the next feature we ship. And we are sometimes constrained by the limits of on-device computation — that is where your ability to innovate will be most impactful. You will collaborate with many dynamic, cross-functional teams consisting of software engineers and machine learning engineers/scientists. The ideal candidate will excel in both academic rigor and engineering efficacy, staying up-to-date with the latest research advancements as well as delivering reliable and robust models to all devices for all users around the world. If you are passionate about building outstanding products and using the full spectrum of your skills to extend the core technology that lets Siri, personalize, and interact in new and exciting ways, then we cannot wait to hear from you.
Education & Experience
Education & Experience
Ph. D. in a Machine Learning or related field, or M.S. with 3+ experiences in the area of Speech/Language Processing or Machine Learning
Additional Requirements
Additional Requirements
Pay & Benefits
Pay & Benefits
• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $131,500 and $243,300, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program Show more details...
via Careers At Apple
schedule_type: Full-time
Summary
Posted: Nov 14, 2022
...
Role Number:200443543
The VCV Science ML Experience Prototyping Team is seeking research engineers who are passionate about inventing and building the future of user experiences powered by computer vision, graphics, and machine learning. We partner with teams across Apple, incubate innovative research ideas, push the boundaries of realtime on-device implementation, frequently demonstrate our work to executive leadership,
Summary
Posted: Nov 14, 2022
...
Role Number:200443543
The VCV Science ML Experience Prototyping Team is seeking research engineers who are passionate about inventing and building the future of user experiences powered by computer vision, graphics, and machine learning. We partner with teams across Apple, incubate innovative research ideas, push the boundaries of realtime on-device implementation, frequently demonstrate our work to executive leadership, and deliver key results as product features that will delight and inspire millions of people every day.
Key Qualifications
Key Qualifications
• Strong Python/C++ skills with ability to rapidly prototype ideas, and refine towards production.
• Background in computer vision and machine learning. Be able to adapt existing innovative ML models and train/fine-tune them in novel settings, i.e. with new data domain, or implement on-device.
• Familiarity with 3D graphics, geometry and classical CV concepts a plus.
• Comfort with data manipulation and data pipelining.
• Experience with Swift/Metal/Shaders/CoreML is a plus.
• Excellent communication and collaboration skills in a multi-functional setting.
Description
Description
You’ll be working with a team of computer vision and deep learning researchers and engineers to implement world-class algorithms and experiences that work without constraints of what’s possible. As a Machine Learning Research Engineer on this team, you will work rapidly and multi-functionally to understand and implement state of the art techniques, explore capabilities of future hardware and sensors, translate ideas into interactive experience prototypes to guide decision-making, and drive the incubation of those technologies towards product.
Your work will be instrumental in helping Apple to understand and shape upcoming products and technologies that will have significant impact on customers.
Education & Experience
Education & Experience
M.S., or Ph.D., or equivalent industry experience in software engineering, computer vision, machine learning or related fields
Additional Requirements
Additional Requirements
Pay & Benefits
Pay & Benefits
• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $161,700 and $284,900, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program Show more details...
Posted: Nov 14, 2022
...
Role Number:200443543
The VCV Science ML Experience Prototyping Team is seeking research engineers who are passionate about inventing and building the future of user experiences powered by computer vision, graphics, and machine learning. We partner with teams across Apple, incubate innovative research ideas, push the boundaries of realtime on-device implementation, frequently demonstrate our work to executive leadership, and deliver key results as product features that will delight and inspire millions of people every day.
Key Qualifications
Key Qualifications
• Strong Python/C++ skills with ability to rapidly prototype ideas, and refine towards production.
• Background in computer vision and machine learning. Be able to adapt existing innovative ML models and train/fine-tune them in novel settings, i.e. with new data domain, or implement on-device.
• Familiarity with 3D graphics, geometry and classical CV concepts a plus.
• Comfort with data manipulation and data pipelining.
• Experience with Swift/Metal/Shaders/CoreML is a plus.
• Excellent communication and collaboration skills in a multi-functional setting.
Description
Description
You’ll be working with a team of computer vision and deep learning researchers and engineers to implement world-class algorithms and experiences that work without constraints of what’s possible. As a Machine Learning Research Engineer on this team, you will work rapidly and multi-functionally to understand and implement state of the art techniques, explore capabilities of future hardware and sensors, translate ideas into interactive experience prototypes to guide decision-making, and drive the incubation of those technologies towards product.
Your work will be instrumental in helping Apple to understand and shape upcoming products and technologies that will have significant impact on customers.
Education & Experience
Education & Experience
M.S., or Ph.D., or equivalent industry experience in software engineering, computer vision, machine learning or related fields
Additional Requirements
Additional Requirements
Pay & Benefits
Pay & Benefits
• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $161,700 and $284,900, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program Show more details...
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