TN Visa Machine Learning Research Jobs
Machine Learning Research roles qualify for TN visa sponsorship under the USMCA's Computer Systems Analyst and Mathematician categories, depending on how the position is defined. Canadian professionals enter without a cap or lottery. Mexican nationals apply through a U.S. consulate. A relevant bachelor's degree and a U.S. employer's job offer letter are required.
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Get Access To All JobsINTRODUCTION
The Siri Speech team is looking for an exceptional Machine Learning Research Engineer to create ML algorithms for Siri, Dictation, and third-party APIs running efficiently on Apple Hardware. You will help productize modern deep learning techniques running on custom Apple hardware and Private Compute Cloud, and create cutting-edge products that push the envelope on Machine Learning for Speech Recognition, Speech Synthesis, and Conversational aspects for various products.
DESCRIPTION
We are looking for a talented ML Research Engineer who is excited by the prospect of working on Siri, Dictation used by millions of users. Our Engineers are creative, inspired, innovative, energetic, self-motivated people who love making and shipping products. Are you one of us? You will primarily be responsible for productizing technologies that help with Accuracy, Personalization and to optimize the algorithms to each of Apple’s Platforms and Devices. To succeed in this role, you must be a strong collaborator, and a creative problem solver who thrives in a fast-paced environment, working across teams and organizations.
MINIMUM QUALIFICATIONS
- Expertise in compiled languages such as Swift, C++, or Objective-C
- Familiarity with model training with PyTorch, JAX or other frameworks
- Applied Machine Learning practitioner
- Ability to synthesize and productize research ideas to millions of users
PREFERRED QUALIFICATIONS
- M.S, PhD in Computer Science or related field, or B.S. with equivalent industry experience
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.
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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
INTRODUCTION
The Siri Speech team is looking for an exceptional Machine Learning Research Engineer to create ML algorithms for Siri, Dictation, and third-party APIs running efficiently on Apple Hardware. You will help productize modern deep learning techniques running on custom Apple hardware and Private Compute Cloud, and create cutting-edge products that push the envelope on Machine Learning for Speech Recognition, Speech Synthesis, and Conversational aspects for various products.
DESCRIPTION
We are looking for a talented ML Research Engineer who is excited by the prospect of working on Siri, Dictation used by millions of users. Our Engineers are creative, inspired, innovative, energetic, self-motivated people who love making and shipping products. Are you one of us? You will primarily be responsible for productizing technologies that help with Accuracy, Personalization and to optimize the algorithms to each of Apple’s Platforms and Devices. To succeed in this role, you must be a strong collaborator, and a creative problem solver who thrives in a fast-paced environment, working across teams and organizations.
MINIMUM QUALIFICATIONS
- Expertise in compiled languages such as Swift, C++, or Objective-C
- Familiarity with model training with PyTorch, JAX or other frameworks
- Applied Machine Learning practitioner
- Ability to synthesize and productize research ideas to millions of users
PREFERRED QUALIFICATIONS
- M.S, PhD in Computer Science or related field, or B.S. with equivalent industry experience
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.
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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
See all 367+ Machine Learning Research jobs
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Get Access To All JobsTips for Finding TN Visa Sponsorship as a Machine Learning Research
Frame your degree for TN eligibility
TN officers assess whether your field of study directly supports the role. A degree in computer science, statistics, or applied mathematics maps cleanly to ML Research. A general engineering degree may require a credential evaluation letter to establish the connection.
Target employers experienced with visa sponsorship
Research labs, AI-focused firms, and university spinouts have experience sponsoring work visas for specialized roles. Prioritize roles where the job description specifies a quantitative or computer science degree requirement, since that language directly supports TN eligibility. For Canadians, the employer will provide a support letter you present at the U.S. port of entry; for Mexicans, you'll apply through a U.S. consulate with the employer's support letter.
Search for verified sponsorship opportunities on Migrate Mate
Use Migrate Mate to filter ML Research openings by TN visa sponsorship. It surfaces roles from employers already familiar with the TN process, saving you time spent on positions where sponsorship is uncertain or unavailable.
Clarify your SOC code before the offer letter
Ask your employer to confirm whether the role will be classified under Computer Systems Analyst or a related category. The SOC code shapes the job offer letter language, and a mismatch between the letter and your actual duties is a common TN denial trigger at the port of entry or consulate.
Get your Canadian credentials formatted correctly
Canadian professionals entering by land port need their TN application package ready on arrival. Include your degree transcripts, the employer's offer letter on company letterhead, and a one-page summary of your specific ML Research duties. Officers don't retrieve documents for you.
Prepare for employer unfamiliarity with TN classification
Many U.S. companies default to H-1B sponsorship workflows and don't realize TN requires no petition or USCIS filing for Canadians. Come to offer negotiations ready to explain that TN processing is handled at the port of entry or consulate, not through USCIS.
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Find Machine Learning Research JobsMachine Learning Research TN Visa: Frequently Asked Questions
Does Machine Learning Research qualify as a TN visa occupation?
Yes, but the classification depends on how the role is defined. Most ML Research positions map to Computer Systems Analyst under the USMCA TN category, particularly when the work involves designing or analyzing computational systems. Roles with a stronger mathematical modeling focus may also qualify under Mathematician. The job offer letter must use language that aligns with the qualifying category's duties, not just the job title.
How does TN compare to H-1B for Machine Learning Research roles?
TN is faster and more predictable for Canadian professionals. There's no lottery, no annual cap, and no USCIS petition required. Canadians can be approved at a land port of entry the same day. H-1B involves a lottery with roughly a one-in-four selection rate, a multi-month USCIS process, and a premium processing fee if you need faster results. Mexican nationals still apply through a U.S. consulate, but they also avoid the H-1B lottery entirely.
What documents does my employer need to prepare for my TN application?
Your employer provides a signed offer letter on company letterhead that describes your specific ML Research duties, confirms you'll be employed in a qualifying TN occupation, states your start date and employment terms, and lists your degree requirements for the role. The letter doesn't need to be a formal USCIS filing, but it must be detailed enough for a CBP officer or consular officer to confirm TN eligibility on its face.
Where can I find Machine Learning Research jobs with TN visa sponsorship?
Migrate Mate lets you search ML Research openings filtered specifically by TN visa sponsorship, so you're not guessing which employers will support the process. Many job postings don't specify visa type, and companies that know H-1B often don't realize TN is an option. Filtering by sponsorship type upfront avoids late-stage surprises when you're already in offer discussions.
Can I switch ML Research employers while on TN status?
Yes, but you need a new TN authorization before starting work with the new employer. Canadians can obtain a new TN at a port of entry with the new employer's offer letter. Mexican nationals apply through a U.S. consulate. Unlike H-1B, there's no portability provision that lets you start immediately on a pending application, so time the transition to avoid any gap between your current TN and the new one.
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