STEM OPT Machine Learning Research Jobs
Machine Learning Research roles at E-Verify-enrolled employers qualify for the 24-month STEM OPT extension, giving you up to 36 months of F-1 work authorization. Eligible degrees span computer science, statistics, electrical engineering, and related STEM CIP codes. Your employer must file a formal I-983 training plan with your DSO before your extension begins.
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Get Access To All JobsINTRODUCTION
Join us as we build world-class groundbreaking products for our customers! Apple's Data and ML Innovation team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and to push the frontier of machine learning.
Our team is looking to hire a tech lead with a strong track record in Applied Research who is passionate about ML and foundation models with a focus on responsibility, fairness, and safety. In this role, you will lead the research and application of ML methods for technologies that power breakthrough user experiences while upholding Apple's values, privacy, and quality standards.
DESCRIPTION
This role will be highly multifunctional. You will collaborate closely with top machine learning researchers and engineers, software engineers, and design teams to develop and deliver groundbreaking solutions for Apple products. We believe that the most exciting problems in machine learning research arise at the intersection of emerging technologies and real-world use cases. This is also where the most critical breakthroughs come from. As a researcher, you will:
- Define and deliver responsible machine learning technologies
- Develop methods and frameworks to train and evaluate foundation models with responsibility and safety in mind
- Research and advance safety alignment and model robustness methods for foundation models
- Research and develop mitigations and safeguards to ensure safe deployment of LLM’s in Apple products
- Advocate for scientific and engineering excellence: You will contribute to the architecture and high-level structure of Apple's AI-powered platform and features
- Work multi-functionally on a diverse set of challenging problems and collaborate with extraordinary software engineers, machine learning engineers, and researchers to impact the future of Apple products
- Work closely with product and partner teams to drive requirement definition, technical quality of deliverables, and execution
MINIMUM QUALIFICATIONS
Strong research or product deployment record in areas related to responsible AI, with publications in top ML venues (e.g., ACL, CHI, CVPR, EMNLP, FAccT, ICML, Interspeech, NeurIPS, UIST, etc.)
Strong research fundamentals, machine learning principles, and development methodologies around LLMs, foundation models, and diffusion models
Proficient programming skills in Python and deep learning toolkits (e.g. JAX, PyTorch, Tensorflow)
Work with highly-sensitive content with exposure to offensive and controversial content
PREFERRED QUALIFICATIONS
BS, MS or PhD in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues
Experience with LLM training and safety alignment
Strong organizational and operational skills working with large, multi-functional, and diverse teams
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 $147,400 and $272,100, 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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.
INTRODUCTION
Join us as we build world-class groundbreaking products for our customers! Apple's Data and ML Innovation team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and to push the frontier of machine learning.
Our team is looking to hire a tech lead with a strong track record in Applied Research who is passionate about ML and foundation models with a focus on responsibility, fairness, and safety. In this role, you will lead the research and application of ML methods for technologies that power breakthrough user experiences while upholding Apple's values, privacy, and quality standards.
DESCRIPTION
This role will be highly multifunctional. You will collaborate closely with top machine learning researchers and engineers, software engineers, and design teams to develop and deliver groundbreaking solutions for Apple products. We believe that the most exciting problems in machine learning research arise at the intersection of emerging technologies and real-world use cases. This is also where the most critical breakthroughs come from. As a researcher, you will:
- Define and deliver responsible machine learning technologies
- Develop methods and frameworks to train and evaluate foundation models with responsibility and safety in mind
- Research and advance safety alignment and model robustness methods for foundation models
- Research and develop mitigations and safeguards to ensure safe deployment of LLM’s in Apple products
- Advocate for scientific and engineering excellence: You will contribute to the architecture and high-level structure of Apple's AI-powered platform and features
- Work multi-functionally on a diverse set of challenging problems and collaborate with extraordinary software engineers, machine learning engineers, and researchers to impact the future of Apple products
- Work closely with product and partner teams to drive requirement definition, technical quality of deliverables, and execution
MINIMUM QUALIFICATIONS
Strong research or product deployment record in areas related to responsible AI, with publications in top ML venues (e.g., ACL, CHI, CVPR, EMNLP, FAccT, ICML, Interspeech, NeurIPS, UIST, etc.)
Strong research fundamentals, machine learning principles, and development methodologies around LLMs, foundation models, and diffusion models
Proficient programming skills in Python and deep learning toolkits (e.g. JAX, PyTorch, Tensorflow)
Work with highly-sensitive content with exposure to offensive and controversial content
PREFERRED QUALIFICATIONS
BS, MS or PhD in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues
Experience with LLM training and safety alignment
Strong organizational and operational skills working with large, multi-functional, and diverse teams
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 $147,400 and $272,100, 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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.
See all 230+ Machine Learning Research jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Research roles.
Get Access To All JobsTips for Finding STEM OPT Authorization in Machine Learning Research
Verify your CIP code before applying
Check that your degree's Classification of Instructional Programs code appears on the USCIS STEM Designated Degree Program List. Computer science, statistics, and applied mathematics codes typically qualify, but interdisciplinary programs sometimes don't. Confirm with your DSO before targeting roles.
Search employers through Migrate Mate first
Filter your Machine Learning Research job search on Migrate Mate to surface employers with verified E-Verify enrollment. This cuts out the manual legwork of cross-checking each company before you apply and saves you from pursuing dead-end opportunities.
Confirm E-Verify enrollment before accepting any offer
Ask your hiring contact directly whether the employer is enrolled in E-Verify and request their E-Verify Company ID number. An employer that can't provide this cannot legally employ STEM OPT students, regardless of how willing they are to support your extension.
Draft your I-983 training plan before your start date
USCIS requires a completed I-983 on file with your DSO before your STEM OPT extension activates. For Machine Learning Research roles, map specific projects and deliverables to learning objectives that align with your STEM degree field. Generic plans get rejected.
Target research labs with existing OPT infrastructure
University-affiliated research centers, national labs, and large tech R&D divisions process STEM OPT extensions regularly and have HR staff familiar with the I-983 requirements. First-time STEM OPT employers often cause delays because they're unfamiliar with their obligations under the training plan.
Use O*NET to frame your role's specialty occupation credentials
Pull the Machine Learning Research occupation profile from O*NET and match your degree field to the listed knowledge and skills requirements. This documentation strengthens your case if your employer or DSO needs to justify how your degree directly relates to the role.
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Find Machine Learning Research JobsFrequently Asked Questions
Does a Machine Learning Research role qualify for the STEM OPT extension?
Yes, provided your degree falls under a STEM-designated CIP code and the role directly applies skills from that field. Machine Learning Research positions typically satisfy this because they require quantitative reasoning, algorithm development, and statistical modeling rooted in computer science, mathematics, or engineering disciplines. Confirm your specific degree's eligibility with your DSO using the USCIS STEM Designated Degree Program List.
What E-Verify obligation does my employer have for my STEM OPT?
Your employer must be actively enrolled in E-Verify at the time your STEM OPT extension begins. Enrollment alone isn't sufficient if it lapsed. You can ask your employer to show you their E-Verify Company ID or employer participation page. If they're not enrolled, they cannot legally employ you under a STEM OPT extension, and you'd need to find an enrolled employer before your initial OPT period ends.
What goes into the I-983 training plan for a research role?
The I-983 requires a description of the research objectives, the specific skills you'll develop, how those skills connect to your STEM degree, and measurable goals your employer will evaluate. For Machine Learning Research, this typically means documenting model development cycles, experimental design responsibilities, and technical mentorship structures. Both you and a company supervisor must sign it, and your DSO must receive it before your extension is approved.
How does cap-gap protection work if I'm in a Machine Learning Research role during H-1B season?
If your employer files an H-1B petition on your behalf before your OPT expires and you're selected in the lottery, cap-gap automatically extends your work authorization through September 30 of that year. You can continue working in your Machine Learning Research role without interruption during this period. USCIS issues no separate document for cap-gap, your I-20 noting the cap-gap extension serves as proof of authorized status.
Where can I find Machine Learning Research jobs at E-Verify employers?
Migrate Mate filters job listings specifically for employers enrolled in E-Verify, so you're not wasting applications on companies that can't support your STEM OPT extension. Machine Learning Research roles at qualifying employers span university research divisions, national laboratories, and technology companies with active R&D programs. Searching through Migrate Mate surfaces only employers who meet the E-Verify requirement before you apply.
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