Apple
Machine Learning Researcher
Apple, Sunnyvale, California, United States, 94087
Machine Learning Researcher
Sunnyvale,California,United States
Machine Learning and AI
We’re looking for a passionate Machine Learning Researcher to join our team of applied researchers and software engineers who develop CV/ML technologies for new Apple products. Technologies created within the Video Computer Vision organization (VCV), such as FaceID, FaceKit, and Gaze and Hand gesture control for Vision Pro, have changed the way millions of users interact with their devices. As part of the VCV Body Technologies Team, we focus on CV/ML technologies for people understanding in the next generation of products that will delight our customers. We balance research and product needs to deliver highest quality, state-of-the-art experiences, innovating through the full stack, and partnering with HW, SW and ML teams to create some of the most impactful CV/ML products ever shipped by Apple.
Description
The Body Technologies team is responsible for many of the key algorithms for people understanding in videos and photos on Apple products such as iPhone and Vision Pro. We conduct research and development in the space of Virtual and Augmented Reality and design algorithms that drive features such as pose estimation, body tracking, shape estimation and action classification. We’re looking for a Machine Learning Researcher to join our team and contribute to highly visible and impactful projects. You will have the opportunity to use your machine learning and computer vision skills to go beyond the state of the art, conceive proof of concept prototypes, work on the full deep learning stack of data collection, model design and failure analysis, and solve the challenges associated with the transition of a prototype into an Apple quality product.
Minimum Qualifications
Strong academic, work and/or publication record in the CV/ML domain
Hands-on experience with people understanding topics, e.g. pose estimation, skeleton tracking, shape estimation, action classification
Excellent understanding of deep learning algorithms and workflows, in particular working with large scale real world 2D and 3D data
Knowledge and experience in temporal reasoning/representation and foundation/large language models
Solid programming skills in Python (Obj-C/C++ is a plus)
Ability to communicate and visualize results clearly and effectively
Key Qualifications
Preferred Qualifications
BS and a minimum of 3 years relevant industry experience
Education & Experience
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 $143,100 and $264,200, 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 (https://www.apple.com/careers/us/benefits.html) 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)
Apple Footer
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.
Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .
Sunnyvale,California,United States
Machine Learning and AI
We’re looking for a passionate Machine Learning Researcher to join our team of applied researchers and software engineers who develop CV/ML technologies for new Apple products. Technologies created within the Video Computer Vision organization (VCV), such as FaceID, FaceKit, and Gaze and Hand gesture control for Vision Pro, have changed the way millions of users interact with their devices. As part of the VCV Body Technologies Team, we focus on CV/ML technologies for people understanding in the next generation of products that will delight our customers. We balance research and product needs to deliver highest quality, state-of-the-art experiences, innovating through the full stack, and partnering with HW, SW and ML teams to create some of the most impactful CV/ML products ever shipped by Apple.
Description
The Body Technologies team is responsible for many of the key algorithms for people understanding in videos and photos on Apple products such as iPhone and Vision Pro. We conduct research and development in the space of Virtual and Augmented Reality and design algorithms that drive features such as pose estimation, body tracking, shape estimation and action classification. We’re looking for a Machine Learning Researcher to join our team and contribute to highly visible and impactful projects. You will have the opportunity to use your machine learning and computer vision skills to go beyond the state of the art, conceive proof of concept prototypes, work on the full deep learning stack of data collection, model design and failure analysis, and solve the challenges associated with the transition of a prototype into an Apple quality product.
Minimum Qualifications
Strong academic, work and/or publication record in the CV/ML domain
Hands-on experience with people understanding topics, e.g. pose estimation, skeleton tracking, shape estimation, action classification
Excellent understanding of deep learning algorithms and workflows, in particular working with large scale real world 2D and 3D data
Knowledge and experience in temporal reasoning/representation and foundation/large language models
Solid programming skills in Python (Obj-C/C++ is a plus)
Ability to communicate and visualize results clearly and effectively
Key Qualifications
Preferred Qualifications
BS and a minimum of 3 years relevant industry experience
Education & Experience
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 $143,100 and $264,200, 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 (https://www.apple.com/careers/us/benefits.html) 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)
Apple Footer
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.
Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .