STEM OPT Llm Engineer Jobs
LLM Engineer roles in machine learning and natural language processing qualify for STEM OPT's 24-month extension when your degree is in computer science, data science, or a related STEM field. Your employer must be enrolled in E-Verify to hire you on STEM OPT, and you'll train under a formal I-983 plan tied to your engineering work.
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Get Access To All JobsINTRODUCTION
Join the Swift AI Frameworks team and create the best APIs for AI models. You’ll collaborate with passionate and creative colleagues to meet ambitious goals in an environment that not only encourages, but requires constant curiosity and growth.
DESCRIPTION
As a member of the Swift AI Frameworks team, you will implement new features in the Foundation Models framework and craft elegant APIs that surprise and delight our developers. You will be responsible for bringing your ideas to life through all stages of their development: from initial research, to API design, to model evaluation, to testing and development in Swift, to documentation and internal dogfooding. You’ll join us in energetic discussions of each other’s work and ideas, alongside collaborators possessing a variety of different perspectives and domain expertises.
You’ll also have the opportunity to collaborate with experts throughout Apple including: ML researchers, systems engineers, user interface designers, tools engineers, and technical writers. Curious and enterprising individuals who take an expansive view of their role will thrive in this multi-disciplinary environment!
MINIMUM QUALIFICATIONS
- Interest in machine learning, LLMs and generative AI
- Proficiency with Swift (or the capacity to become proficient quickly)
- The ability to work collaboratively and explain complex ideas clearly
- High standards for quality and attention to detail
- The desire to learn and grow, keeping pace with cutting edge technologies
- Experience with at least one of the following: Framework and API development, LLM tool calling and agentic workflows, Model evaluation, LLM inference algorithms (e.g. constrained decoding, retrieval-augmented generation)
PREFERRED QUALIFICATIONS
- Bachelorʼs Degree in Computer Science or equivalent experience
- Experience with any of the following is a plus, but not required: LLM serving, On-device ML systems, Multi-modal LLMs, Swift API design patterns, User interface technologies (e.g. SwiftUI, UIKit), Programming language design and implementation, Technical writing and Open-source software projects.
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.
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 $181,100 and $318,400, 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.
INTRODUCTION
Join the Swift AI Frameworks team and create the best APIs for AI models. You’ll collaborate with passionate and creative colleagues to meet ambitious goals in an environment that not only encourages, but requires constant curiosity and growth.
DESCRIPTION
As a member of the Swift AI Frameworks team, you will implement new features in the Foundation Models framework and craft elegant APIs that surprise and delight our developers. You will be responsible for bringing your ideas to life through all stages of their development: from initial research, to API design, to model evaluation, to testing and development in Swift, to documentation and internal dogfooding. You’ll join us in energetic discussions of each other’s work and ideas, alongside collaborators possessing a variety of different perspectives and domain expertises.
You’ll also have the opportunity to collaborate with experts throughout Apple including: ML researchers, systems engineers, user interface designers, tools engineers, and technical writers. Curious and enterprising individuals who take an expansive view of their role will thrive in this multi-disciplinary environment!
MINIMUM QUALIFICATIONS
- Interest in machine learning, LLMs and generative AI
- Proficiency with Swift (or the capacity to become proficient quickly)
- The ability to work collaboratively and explain complex ideas clearly
- High standards for quality and attention to detail
- The desire to learn and grow, keeping pace with cutting edge technologies
- Experience with at least one of the following: Framework and API development, LLM tool calling and agentic workflows, Model evaluation, LLM inference algorithms (e.g. constrained decoding, retrieval-augmented generation)
PREFERRED QUALIFICATIONS
- Bachelorʼs Degree in Computer Science or equivalent experience
- Experience with any of the following is a plus, but not required: LLM serving, On-device ML systems, Multi-modal LLMs, Swift API design patterns, User interface technologies (e.g. SwiftUI, UIKit), Programming language design and implementation, Technical writing and Open-source software projects.
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.
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 $181,100 and $318,400, 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.
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Llm Engineer
Verify your CIP code matches LLM roles
Check your degree's Classification of Instructional Programs code against STEM-designated CIP codes before applying. Computer science, electrical engineering, and data science codes typically qualify, but applied mathematics or information systems degrees vary by institution.
Confirm E-Verify enrollment before accepting offers
Ask your recruiter directly whether the company is enrolled in E-Verify before you reach the offer stage. Hiring managers at AI startups often don't know their E-Verify status, so verify through the official E-Verify employer search rather than taking their word for it.
Align your I-983 training plan to model deployment tasks
Your I-983 must connect your STEM degree to specific LLM engineering responsibilities. List concrete learning objectives tied to model fine-tuning, inference optimization, or RAG pipeline development so your DSO can certify the plan without revision requests.
Target AI labs and cloud platform teams at E-Verify employers
Use Migrate Mate to filter LLM Engineer roles by employers with confirmed E-Verify enrollment. AI research divisions at large cloud providers and well-funded AI startups that have completed Series B rounds or later are the most consistent sources of STEM OPT-compatible offers.
File your STEM OPT extension 90 days before OPT expires
USCIS requires your I-765 extension application to be received before your current EAD expires. Filing exactly 90 days early protects your work authorization gap if USCIS processing runs long, and your DSO must update SEVIS before you can submit.
Use OFLC Wage Search to benchmark your offer against prevailing wages
LLM Engineer roles map to SOC codes in computer occupations. Pull the prevailing wage for your specific job title and metro area using OFLC Wage Search before negotiating, so you can identify whether an offer reflects a legitimate rate for your work location.
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Find Llm Engineer JobsFrequently Asked Questions
Does an LLM Engineer role qualify for the STEM OPT extension?
LLM Engineer positions typically qualify when your degree is in computer science, data science, electrical engineering, or another STEM-designated field. The role itself must also relate directly to your degree under the I-983 training plan your DSO certifies. Review your degree's CIP code against the official STEM-designated degree program list maintained by DHS to confirm eligibility before applying.
How do I find LLM Engineer jobs where the employer is E-Verify enrolled?
Migrate Mate filters LLM Engineer roles by employers with confirmed E-Verify enrollment, so you're not wasting applications on companies that can't legally hire STEM OPT students. You can also cross-check any employer directly through the E-Verify employer search tool. Don't rely on a recruiter's verbal confirmation since enrollment status can lapse or was never established.
What should my I-983 training plan say for an LLM Engineer position?
Your I-983 must describe how the work directly applies knowledge from your STEM degree. For LLM engineering, that means listing specific training goals such as fine-tuning transformer models, building retrieval-augmented generation pipelines, or optimizing inference latency. Generic descriptions like 'software development' are often rejected by DSOs. Tie each objective to a course, project, or competency from your degree program.
What happens to my STEM OPT authorization if my employer loses E-Verify enrollment?
If your employer loses E-Verify enrollment or withdraws, you're no longer authorized to work for them on STEM OPT. USCIS requires E-Verify participation to remain active throughout your employment, not just at the time of your extension approval. You'd need to either find a new E-Verify-enrolled employer or work with your DSO on next steps before your grace period expires.
Does cap-gap protection apply if my H-1B is selected while I'm on STEM OPT?
Yes. If your employer files an H-1B petition on your behalf before your STEM OPT EAD expires and you're selected in the lottery, cap-gap rules automatically extend your F-1 status and work authorization through September 30 of that fiscal year. Your STEM OPT EAD's explicit expiration date becomes irrelevant during this period. USCIS confirms cap-gap coverage based on your I-94 and the petition receipt notice.
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