Apple
Machine Learning Engineer - Multimodal Foundation Models
Apple, Sunnyvale, California, United States, 94087
Machine Learning Engineer - Multimodal Foundation Models
Sunnyvale,California,United States
Machine Learning and AI
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. Multifaceted, amazing people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us in this truly exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple product & experiences! As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming research directions in the field of multimodal foundation models that will inspire the future Apple products. We are continuously advancing the state of the art in Computer Vision and Machine Learning. You will be working alongside highly accomplished and deeply technical scientists and engineers to develop state of the art solution for challenging problems. We are touching all aspects of language and multimodal foundation models, from data collection, data curation to modeling, evaluation and deployment. This is a unique opportunity to be part of what forms the future of Apple products that will touch the life of many people. We (Spatial Perception Team) looking for a machine learning researcher to work on the field of Generative AI and multi-modal foundation models. Our team has an established track record of shipping features that leverages multiple sensors, such as FaceID, RoomPlan and hand tracking in VisionPro. We are focused on building experiences that leverages the power of our sensing hardware as well as large foundation models.
Description
This position requires a highly motivated person who wants to help us advance the field of Generative AI and multi-modal foundation models. You will be responsible for designing, implementing, evaluating foundation models based on the latest advancements in the fields, taking into account future hardware design and product needs. In addition, you will have an opportunity to engage and collaborate with several teams across apple to deliver the best products.
Minimum Qualifications
BS and a minimum of 3 years relevant industry experience.
Solid programming skills with Python
Familiarity with deep learning toolkits
Familiar with challenges associated with training large models and working with large data
Key Qualifications
Preferred Qualifications
PhD in Computer Science, Computer Vision, Computer Graphics, Machine Learning or equivalent.
Strong academic and publication record (CVPR, ICCV/ECCV, NeurIPS, ICML, etc)
Deep understanding of large foundation models
Deep understanding of multi-task, multi-modal machine learning domain
Ability to communicate the results of analyses in a clear and effective manner
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
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. Multifaceted, amazing people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us in this truly exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple product & experiences! As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming research directions in the field of multimodal foundation models that will inspire the future Apple products. We are continuously advancing the state of the art in Computer Vision and Machine Learning. You will be working alongside highly accomplished and deeply technical scientists and engineers to develop state of the art solution for challenging problems. We are touching all aspects of language and multimodal foundation models, from data collection, data curation to modeling, evaluation and deployment. This is a unique opportunity to be part of what forms the future of Apple products that will touch the life of many people. We (Spatial Perception Team) looking for a machine learning researcher to work on the field of Generative AI and multi-modal foundation models. Our team has an established track record of shipping features that leverages multiple sensors, such as FaceID, RoomPlan and hand tracking in VisionPro. We are focused on building experiences that leverages the power of our sensing hardware as well as large foundation models.
Description
This position requires a highly motivated person who wants to help us advance the field of Generative AI and multi-modal foundation models. You will be responsible for designing, implementing, evaluating foundation models based on the latest advancements in the fields, taking into account future hardware design and product needs. In addition, you will have an opportunity to engage and collaborate with several teams across apple to deliver the best products.
Minimum Qualifications
BS and a minimum of 3 years relevant industry experience.
Solid programming skills with Python
Familiarity with deep learning toolkits
Familiar with challenges associated with training large models and working with large data
Key Qualifications
Preferred Qualifications
PhD in Computer Science, Computer Vision, Computer Graphics, Machine Learning or equivalent.
Strong academic and publication record (CVPR, ICCV/ECCV, NeurIPS, ICML, etc)
Deep understanding of large foundation models
Deep understanding of multi-task, multi-modal machine learning domain
Ability to communicate the results of analyses in a clear and effective manner
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) .