TN Visa Machine Learning Engineer Jobs
Machine Learning Engineer roles qualify for TN visa sponsorship under the USMCA's Computer Systems Analyst category, which covers ML-focused positions requiring a computer science, mathematics, or engineering degree. Canadian citizens can secure TN status at the port of entry with no cap or lottery. Mexican citizens apply through a U.S. consulate.
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INTRODUCTION
The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer excited about solving real-world problems in the health domain that make a difference in our customers' lives.
DESCRIPTION
In this role, you will use your skills and experience in software engineering, machine learning, deep learning, and generative AI to design, implement, tune, and evaluate machine learning models and systems. You will solve ambitious problems involving unique data and high-impact products, including state-of-the-art generative AI technologies. The successful candidate should possess excellent interpersonal skills and the ability to work cross-functionally to rapidly apply engineering best practices and novel research techniques at the intersection of Health, ML, and consumer products.
MINIMUM QUALIFICATIONS
- 10+ years of overall software development experience.
- Experience leading a team and/or a proven track record of cross-functional collaboration to deliver customer-facing features with machine learning capabilities in production.
- BS/MS/Ph.D. in Computer Science, Computer Engineering, Machine Learning, or related fields (or equivalent qualification).
PREFERRED QUALIFICATIONS
- Ph.D. in Computer Science, Machine Learning, or a related field.
- Strong background in generative models, natural language processing (NLP), and large language models (LLMs).
- 5+ years of hands-on experience in state-of-the-art machine learning and deep learning applied to large-scale datasets and/or production applications.
- Proficiency developing and working with large-scale models using modern machine learning packages (e.g., TensorFlow, PyTorch, Jax, Huggingface).
- Proficiency in building and troubleshooting modern agentic systems (prompt tuning, routing, planning, multi-agent, RAG, tool use, memory management, etc.).
- Experience with healthcare data, products, and workflows.
- Ability to thrive in a fast-paced environment, deal with uncertainty, and adapt to new and changing requirements.
- Proven track record of contributing to diverse teams in a collaborative environment.
- A passion for building outstanding and innovative products. This position involves a wide variety of interdisciplinary skills.
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 $212,000 and $386,300, 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
The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer excited about solving real-world problems in the health domain that make a difference in our customers' lives.
DESCRIPTION
In this role, you will use your skills and experience in software engineering, machine learning, deep learning, and generative AI to design, implement, tune, and evaluate machine learning models and systems. You will solve ambitious problems involving unique data and high-impact products, including state-of-the-art generative AI technologies. The successful candidate should possess excellent interpersonal skills and the ability to work cross-functionally to rapidly apply engineering best practices and novel research techniques at the intersection of Health, ML, and consumer products.
MINIMUM QUALIFICATIONS
- 10+ years of overall software development experience.
- Experience leading a team and/or a proven track record of cross-functional collaboration to deliver customer-facing features with machine learning capabilities in production.
- BS/MS/Ph.D. in Computer Science, Computer Engineering, Machine Learning, or related fields (or equivalent qualification).
PREFERRED QUALIFICATIONS
- Ph.D. in Computer Science, Machine Learning, or a related field.
- Strong background in generative models, natural language processing (NLP), and large language models (LLMs).
- 5+ years of hands-on experience in state-of-the-art machine learning and deep learning applied to large-scale datasets and/or production applications.
- Proficiency developing and working with large-scale models using modern machine learning packages (e.g., TensorFlow, PyTorch, Jax, Huggingface).
- Proficiency in building and troubleshooting modern agentic systems (prompt tuning, routing, planning, multi-agent, RAG, tool use, memory management, etc.).
- Experience with healthcare data, products, and workflows.
- Ability to thrive in a fast-paced environment, deal with uncertainty, and adapt to new and changing requirements.
- Proven track record of contributing to diverse teams in a collaborative environment.
- A passion for building outstanding and innovative products. This position involves a wide variety of interdisciplinary skills.
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 $212,000 and $386,300, 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.
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Get Access To All JobsTips for Finding TN Visa Sponsorship as a Machine Learning Engineer
Align your credentials to the Computer Systems Analyst category
TN status for ML engineers is adjudicated under Computer Systems Analyst, not a standalone ML category. Your degree in computer science, mathematics, statistics, or engineering must be documented and translated if issued outside the U.S. or Canada.
Target employers experienced with visa sponsorship
Companies experienced with work visa sponsorship understand the employer support letter requirements and won't delay your start date. Migrate Mate identifies employers with recent visa filings, showing which companies regularly hire for technical roles like Machine Learning Engineer across tech, finance, and healthcare.
Search TN-sponsoring ML roles through Migrate Mate
Filter by TN visa sponsorship and the Machine Learning Engineer title to surface employers actively hiring for this category. Migrate Mate surfaces verified sponsorship history so you're not guessing which companies will actually file.
Get your employer letter drafted before negotiating your start date
Canadian citizens can activate TN status at the border the same day, but only with a compliant employer support letter. The letter must name the specific ML role, confirm the Computer Systems Analyst classification, and state the duration and wages.
Clarify your job duties if your title sounds more research than engineering
Titles like Research Scientist or AI Researcher can raise questions at the port of entry. If your role involves applied ML systems rather than pure research, your employer letter should describe deliverables, tools, and systems responsibilities to support the Computer Systems Analyst classification.
Understand Mexican citizens face a separate consular process
Unlike Canadians, Mexican TN applicants must schedule a consular interview in Mexico and receive visa stamp issuance before entering the U.S. Plan for a consulate appointment timeline and confirm your employer can accommodate the additional processing window.
Machine Learning Engineer jobs are hiring across the US. Find yours.
Find Machine Learning Engineer JobsMachine Learning Engineer TN Visa: Frequently Asked Questions
Does a Machine Learning Engineer role qualify for TN visa sponsorship?
Yes, Machine Learning Engineer positions qualify under the USMCA's Computer Systems Analyst category, which covers roles requiring theoretical and practical application of computer systems. Your offer letter and job duties must reflect systems analysis and implementation work. Roles framed primarily as academic research can face more scrutiny at adjudication.
How does TN compare to H-1B for Machine Learning Engineers?
TN has no annual lottery, no cap for Canadian citizens, and can be activated at a Canadian port of entry the same day with the right documentation. H-1B requires a lottery selection, an April registration window, and an October 1 start date at earliest. For ML engineers with Canadian or Mexican citizenship, TN is a faster and more predictable path to authorized employment.
What documentation does my employer need to provide for my TN application?
Your employer must provide a support letter on company letterhead that names your specific ML role, confirms the Computer Systems Analyst USMCA classification, describes your job duties, states the offered wage, and specifies the employment duration. Canadian applicants present this letter directly to CBP at the port of entry. Mexican applicants include it in their consular application package.
Where can I find Machine Learning Engineer jobs that offer TN visa sponsorship?
Migrate Mate is built specifically for TN visa job seekers and lets you filter by visa type and job title to find employers actively sponsoring Canadian and Mexican professionals. This is more targeted than searching general job boards, where sponsorship willingness is often unclear or unlisted in the posting.
Can I switch Machine Learning Engineer employers while on TN status?
Yes, but TN status is employer-specific, so you cannot start work with a new employer on your existing TN authorization. Your new employer must obtain a fresh TN approval before your first day, either through a CBP port of entry (for Canadians) or a USCIS petition filed in advance. Plan your transition timeline to avoid a gap in authorized employment.
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