Apple
AIML Resident - Efficient ML Research
Apple, Seattle, Washington, us, 98127
AIML Resident - Efficient ML Research
Seattle,Washington,United States
Machine Learning and AI
Imagine what you could do here! At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Combining groundbreaking machine learning research with next-generation hardware, our teams take user experiences to the next level!
Description
Apple’s AIML residency is a year-long program inviting experts in various fields to apply their own domain expertise to innovate and build revolutionary machine learning and AI-based products and experiences. As AI-based solutions spread across disciplines, the need for domain experts to understand machine learning and apply their expertise in ML settings grows. Residents will have the opportunity to attend ML and AI courses, learn from an Apple mentor closely involved in their program, collaborate with fellow residents, gain hands-on experience working on high-impact projects, publish in premier academic conferences, and partner with Apple teams across hardware, software, and services. Our team is part of Apple's Machine Learning Research organization. We conduct fundamental research in two areas: 1) Efficient machine learning, focusing on optimizing models and algorithms for high performance while minimizing resource usage by improving data efficiency, reducing training time, and lowering inference compute and memory demands; and 2) controllable generation, sought at improving the controllability and capabilities of multi-modal generative models. This enables techniques such as creating and augmenting virtual worlds with sophisticated controls, and generating synthetic data for training downstream models. A few recent representative research works from our team include: - “GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models (https://machinelearning.apple.com/research/gsm-symbolic)”, arXiv 2024 - “Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks, Methods, and Applications (https://arxiv.org/abs/2311.18168)”, CVPR 2024 - “MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training (https://arxiv.org/abs/2311.17049)”, CVPR 2024 - “HUGS: Human Gaussian Splats (https://machinelearning.apple.com/research/hugs)”, CVPR 2024 - “Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models (https://arxiv.org/abs/2309.10707)”, ICASSP 2024 - “Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models (https://arxiv.org/abs/2311.18237)”, ICML 2024 - “Tic-clip: Continual training of clip models (https://machinelearning.apple.com/research/tic-clip-v2)”, ICLR 2024 Our Resident will focus on research at the intersection of multi-modal agents (vision, language, audio), foundation models and data-centric learning methods.
Minimum Qualifications
Proficiency in a programming language such as Python, Objective-C, C++, Swift, and/or R. Candidates should have experience completing a moderate-sized software project
Demonstrated ability to connect and collaborate with others
Graduate degree in a STEM field or equivalent industry experience in software engineering
Apple’s AIML residency is a one-year program starting in July 2025. Residents must be available to work full-time (40 hours/week) July 14, 2025 - July 10, 2026
Key Qualifications
Preferred Qualifications
Ideal candidates will also have academic, research, or industry experience in at least one of the following: Large Language Models / Generative AI, Machine Learning & ML Research, Natural Language Processing/Speech/Conversational AI, Robotics, or Computer Vision. Thesis, capstone project, internship, co-op, and/or proven experience in these fields qualifies
We encourage you to submit a cover letter as part of your application explaining: What are your research interests? How do they apply to the specific Residency position you applied to? Why would you would like to join the AIML residency program broadly?
APPLICATION DEADLINE: DECEMBER 16, 2024
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 $135,400 and $204,000, 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 (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) .
Seattle,Washington,United States
Machine Learning and AI
Imagine what you could do here! At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Combining groundbreaking machine learning research with next-generation hardware, our teams take user experiences to the next level!
Description
Apple’s AIML residency is a year-long program inviting experts in various fields to apply their own domain expertise to innovate and build revolutionary machine learning and AI-based products and experiences. As AI-based solutions spread across disciplines, the need for domain experts to understand machine learning and apply their expertise in ML settings grows. Residents will have the opportunity to attend ML and AI courses, learn from an Apple mentor closely involved in their program, collaborate with fellow residents, gain hands-on experience working on high-impact projects, publish in premier academic conferences, and partner with Apple teams across hardware, software, and services. Our team is part of Apple's Machine Learning Research organization. We conduct fundamental research in two areas: 1) Efficient machine learning, focusing on optimizing models and algorithms for high performance while minimizing resource usage by improving data efficiency, reducing training time, and lowering inference compute and memory demands; and 2) controllable generation, sought at improving the controllability and capabilities of multi-modal generative models. This enables techniques such as creating and augmenting virtual worlds with sophisticated controls, and generating synthetic data for training downstream models. A few recent representative research works from our team include: - “GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models (https://machinelearning.apple.com/research/gsm-symbolic)”, arXiv 2024 - “Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks, Methods, and Applications (https://arxiv.org/abs/2311.18168)”, CVPR 2024 - “MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training (https://arxiv.org/abs/2311.17049)”, CVPR 2024 - “HUGS: Human Gaussian Splats (https://machinelearning.apple.com/research/hugs)”, CVPR 2024 - “Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models (https://arxiv.org/abs/2309.10707)”, ICASSP 2024 - “Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models (https://arxiv.org/abs/2311.18237)”, ICML 2024 - “Tic-clip: Continual training of clip models (https://machinelearning.apple.com/research/tic-clip-v2)”, ICLR 2024 Our Resident will focus on research at the intersection of multi-modal agents (vision, language, audio), foundation models and data-centric learning methods.
Minimum Qualifications
Proficiency in a programming language such as Python, Objective-C, C++, Swift, and/or R. Candidates should have experience completing a moderate-sized software project
Demonstrated ability to connect and collaborate with others
Graduate degree in a STEM field or equivalent industry experience in software engineering
Apple’s AIML residency is a one-year program starting in July 2025. Residents must be available to work full-time (40 hours/week) July 14, 2025 - July 10, 2026
Key Qualifications
Preferred Qualifications
Ideal candidates will also have academic, research, or industry experience in at least one of the following: Large Language Models / Generative AI, Machine Learning & ML Research, Natural Language Processing/Speech/Conversational AI, Robotics, or Computer Vision. Thesis, capstone project, internship, co-op, and/or proven experience in these fields qualifies
We encourage you to submit a cover letter as part of your application explaining: What are your research interests? How do they apply to the specific Residency position you applied to? Why would you would like to join the AIML residency program broadly?
APPLICATION DEADLINE: DECEMBER 16, 2024
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 $135,400 and $204,000, 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 (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) .