STEM OPT AI ML Platform Jobs
AI ML Platform roles sit squarely within STEM OPT eligibility, supported by computer science, data science, and engineering degrees. Your initial 12-month OPT extends by 24 months once your employer enrolls in E-Verify and files your I-983 training plan, giving you up to 36 months to build a career in machine learning infrastructure.
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The AIML Multimodal Foundation Model Team is pioneering next-generation intelligent agent technologies that combine multimodal reasoning, tool-use, and visual understanding. Our innovative features redefine how hundreds of millions of people utilize their computers and mobile devices for search and information retrieval. Our universal search engine powers search capabilities across a range of Apple products, including Siri, Spotlight, Safari, Messages, and Lookup. Additionally, we develop cutting-edge generative AI technologies based on multimodal large language models to enable innovative features in both Apple’s devices and cloud-based services. As a member of this team, you will design new architectures for multimodal agents, explore advanced training paradigms, and build robust agentic capabilities such as planning, grounding, tool-use, and autonomous task execution. You will collaborate closely with researchers and engineers to bring cutting-edge agent research into production, transforming Apple devices into intelligent partners that help users get things done.
DESCRIPTION
As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, computer vision, multimodal LLM, and agent training experience and solid engineering skills. This role will have the following responsibilities:
- Developing state-of-the-art multimodal foundation models for Apple Intelligence.
- Developing various agent capabilities for multimodal LLMs, including computer use agents, visual tool use, thinking with images, and multimodal web search.
- Developing, fine-tuning, and evaluating domain specific foundation models for various tasks and applications in Apple’s AI powered products.
- Conducting applied research to transfer the pioneering research in generative AI to production ready technologies.
- Understanding product requirements, translate them into modeling tasks and engineering tasks.
MINIMUM QUALIFICATIONS
- PhD, MS or equivalent experience
- Experience in machine learning, deep learning, computer vision, or natural language processing
- Proficiency in one of following languages: Python, Go, Java, C++
PREFERRED QUALIFICATIONS
- Excellent data analytical skills
- Good interpersonal skills and team player
- PhD preferred
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 $184,700 and $324,800, 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
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 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
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Apple accepts applications to this posting on an ongoing basis.
SUMMARY
The AIML Multimodal Foundation Model Team is pioneering next-generation intelligent agent technologies that combine multimodal reasoning, tool-use, and visual understanding. Our innovative features redefine how hundreds of millions of people utilize their computers and mobile devices for search and information retrieval. Our universal search engine powers search capabilities across a range of Apple products, including Siri, Spotlight, Safari, Messages, and Lookup. Additionally, we develop cutting-edge generative AI technologies based on multimodal large language models to enable innovative features in both Apple’s devices and cloud-based services. As a member of this team, you will design new architectures for multimodal agents, explore advanced training paradigms, and build robust agentic capabilities such as planning, grounding, tool-use, and autonomous task execution. You will collaborate closely with researchers and engineers to bring cutting-edge agent research into production, transforming Apple devices into intelligent partners that help users get things done.
DESCRIPTION
As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, computer vision, multimodal LLM, and agent training experience and solid engineering skills. This role will have the following responsibilities:
- Developing state-of-the-art multimodal foundation models for Apple Intelligence.
- Developing various agent capabilities for multimodal LLMs, including computer use agents, visual tool use, thinking with images, and multimodal web search.
- Developing, fine-tuning, and evaluating domain specific foundation models for various tasks and applications in Apple’s AI powered products.
- Conducting applied research to transfer the pioneering research in generative AI to production ready technologies.
- Understanding product requirements, translate them into modeling tasks and engineering tasks.
MINIMUM QUALIFICATIONS
- PhD, MS or equivalent experience
- Experience in machine learning, deep learning, computer vision, or natural language processing
- Proficiency in one of following languages: Python, Go, Java, C++
PREFERRED QUALIFICATIONS
- Excellent data analytical skills
- Good interpersonal skills and team player
- PhD preferred
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 $184,700 and $324,800, 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
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 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
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Apple accepts applications to this posting on an ongoing basis.
See all 175+ STEM OPT AI ML Platform Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT AI ML Platform Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization in AI ML Platform
Verify your CIP code before applying
Check that your degree's Classification of Instructional Programs code maps to a STEM-designated field. AI and ML Platform roles most often qualify under CIP codes for computer science, electrical engineering, or applied mathematics. Your DSO can confirm your I-20 reflects the right code.
Check E-Verify status before accepting offers
STEM OPT requires your employer to be enrolled in E-Verify before your extension starts. Search the E-Verify employer search tool by company name to confirm active participation. A company that isn't enrolled can't legally employ you on a STEM OPT extension.
Target platform teams at E-Verify enrolled companies
ML platform and MLOps roles are concentrated at companies running large-scale model infrastructure. Use Migrate Mate to filter AI ML Platform jobs specifically to E-Verify enrolled employers, so you're only applying to companies that can legally support your STEM OPT extension.
Align your I-983 training plan to ML platform work
Your I-983 must connect your STEM degree to your day-to-day platform work. Frame objectives around specific skills like distributed training infrastructure, model deployment pipelines, or feature store architecture. Vague plans get flagged by DSOs and can delay your extension start date.
Use O*NET to anchor your specialty occupation case
Pull the O*NET occupation profile for your target role before you negotiate your offer. ML platform engineers typically fall under Software Developers or Computer and Information Research Scientists, both of which require a bachelor's degree in a specific technical field, which strengthens your OPT-to-H-1B visa transition argument.
File your STEM OPT extension at least 90 days early
USCIS recommends submitting your I-765 extension application up to 90 days before your initial OPT ends. Late filing eliminates the 180-day automatic extension that keeps you authorized while your application is pending. Confirm your exact deadline with your DSO as soon as you accept an offer.
Frequently Asked Questions
Does my STEM degree qualify me for the 24-month STEM OPT extension in an AI ML Platform role?
It depends on your specific degree's CIP code, not just the subject area. Degrees in computer science, electrical engineering, applied mathematics, statistics, and data science are commonly STEM-designated and qualify for the extension. Your DSO confirms eligibility by checking whether your I-20 reflects a CIP code on the STEM Designated Degree Program List published by the Department of Homeland Security. An AI ML Platform role itself doesn't confer eligibility; your degree does.
What E-Verify requirement applies to my employer for STEM OPT?
Your employer must be actively enrolled in E-Verify before your STEM OPT extension begins, not just at the time you accept an offer. Enrollment is required at the specific worksite where you'll be employed. You can verify enrollment using the E-Verify employer search tool before signing anything. If your employer is acquired or restructures after your extension starts, the new legal entity must independently enroll in E-Verify.
What should my I-983 training plan include for an AI ML Platform role?
Your I-983 must describe how the practical training directly relates to your STEM degree and supports your professional development goals. For AI ML Platform roles, this typically means documenting objectives around model deployment systems, data pipeline architecture, distributed computing, or ML infrastructure reliability. Your employer's authorized representative signs the form, and your DSO must receive it before your extension is authorized. Generic job descriptions without degree-field connections are commonly flagged.
How does cap-gap protection work if my H-1B is selected while I'm on STEM OPT?
If your employer files an H-1B petition on your behalf before your STEM OPT expires and USCIS selects it in the lottery, cap-gap automatically extends your OPT work authorization through September 30 of that year. Your EAD remains valid during this period even if it has expired on its face. USCIS issues a cap-gap extension automatically; no separate application is required. Your DSO can issue an updated I-20 reflecting the cap-gap period.
Where can I find AI ML Platform jobs that are open to STEM OPT candidates?
Use Migrate Mate to search AI ML Platform jobs filtered to employers enrolled in E-Verify, which is the baseline requirement for hiring STEM OPT students. Many job listings don't explicitly state E-Verify enrollment, so filtering by confirmed enrollment saves significant time. Migrate Mate surfaces roles where the employer infrastructure already supports F-1 STEM OPT work authorization, reducing the risk of accepting an offer from a company that can't legally extend your status.