OPT Machine Learning Research Jobs
Machine Learning Research jobs on OPT require STEM designation, which qualifies F-1 students for a 24-month OPT extension beyond the standard 12 months. Most roles sit inside research labs or AI teams at universities, national laboratories, and technology companies, all of which routinely sponsor H-1B visa and O-1 visas for strong candidates.
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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 287+ OPT Machine Learning Research Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new OPT Machine Learning Research Jobs.
Get Access To All JobsTips for Finding OPT Sponsorship in Machine Learning Research
Target STEM-designated programs
Verify your degree program carries an approved STEM CIP code before applying. Machine Learning Research roles qualify for the 24-month OPT extension only when your degree field matches the STEM designation list maintained by ICE.
Apply to research-heavy employers first
Universities, national laboratories, and corporate AI research divisions hire ML researchers regularly and have established immigration counsel on staff. These employers understand OPT timelines and are far more likely to sponsor H-1B visa or O-1 petitions after your authorization period.
File your OPT STEM extension early
USCIS recommends filing your 24-month STEM extension application 90 days before your initial OPT EAD expires. A timely filing gives you a 180-day automatic extension cap that keeps you authorized while USCIS processes your application.
Emphasize publications and research output
ML research hiring managers weight peer-reviewed publications, conference papers at NeurIPS, ICML, or ICLR, and open-source model contributions heavily. Strong research output also strengthens future O-1A or EB-1A immigration petitions based on extraordinary ability.
Clarify your authorization window upfront
Tell recruiters your exact EAD expiration date and STEM extension eligibility in the first conversation. Research teams plan hiring timelines months ahead, so knowing you have two to three years of work authorization removes a common sponsorship hesitation early in the process.
Build toward O-1 eligibility from day one
Machine Learning researchers accumulate O-1 qualifying evidence naturally through citations, peer review, judging competitions, and speaking at conferences. Documenting these activities from your first OPT role creates a strong immigration record independent of the H-1B lottery.
Machine Learning Research OPT: Frequently Asked Questions
Do Machine Learning Research jobs qualify for the 24-month OPT STEM extension?
Yes, provided your underlying degree is in a STEM-designated field such as Computer Science, Statistics, Mathematics, or Electrical Engineering. Machine Learning Research roles fall squarely within the STEM occupation categories that satisfy the extension criteria. You should confirm your specific CIP code with your DSO before filing.
How do I find Machine Learning Research employers that sponsor OPT and H-1B?
Migrate Mate filters job listings specifically for employers willing to sponsor international candidates on OPT, so you can focus your search on companies that have already committed to sponsoring work authorization rather than asking cold. Corporate research labs at large technology companies, university research groups, and federally funded AI institutes are the most active sponsors in this field.
Can I work as an independent or contract ML researcher on OPT?
Self-employment is not permitted on standard OPT. Your work must be directly related to your degree field and performed for an employer who reports your employment to your DSO within 10 days of your start date. Contract or consulting arrangements may be permissible if structured through an employer of record who fulfills the reporting requirement and the work is degree-related.
What happens to my OPT status if my Machine Learning Research position ends before my EAD expires?
OPT allows a cumulative unemployment limit of 90 days during the initial 12-month period and an additional 60 days during the 24-month STEM extension, for 150 days total. Exceeding these limits terminates your F-1 status. If your position ends, you should begin a new job search immediately and report any employment changes to your DSO without delay.
Does Machine Learning Research experience improve my long-term visa sponsorship prospects?
Substantially. Peer-reviewed publications, conference presentations at venues like NeurIPS or ICML, and measurable research impact build direct evidence for O-1A extraordinary ability petitions and EB-1A or EB-2 NIW green card categories. Employers in this field are also among the most experienced H-1B sponsors, meaning your transition from OPT to long-term status is a well-established path rather than an exception.