TN Visa AI ML Platform Jobs
AI ML Platform roles qualify for TN visa sponsorship under the Engineer or Computer Systems Analyst category, depending on how your employer structures the position. Canadian citizens can apply at the border with no cap concerns. Mexican nationals follow a consular process. A bachelor's degree in computer science, engineering, or a related field is required.
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Get Access To All JobsINTRODUCTION
Imagine what we could do together. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what we could accomplish!
The Apple Services Engineering team is one of the most exciting examples of Apple's long-held passion for combining art and technology. The products we build power the intelligence behind App Store, Apple TV, Apple Games, Apple Music, Apple Podcasts, Apple Books, Apple Sports and Apple Fitness. And we do it on a massive scale, meeting Apple's high standard for quality and excellence, to deliver a huge variety of entertainment in over 50+ languages to more than 150 countries. If you are looking for an opportunity to grow in a technical capacity by leveraging your skills along with building up solid domain knowledge and automated testing strategies and systems around Apple's services offerings in the AI/ML space, we would love to talk to you!
DESCRIPTION
The Apple Services Engineering AI/ML Quality organization is looking for a Quality Engineer with a passion for building and validating quality systems at scale, with strong experience in leading multi-functional projects, developing test and automation strategies in a fast moving team, partnering across Quality, Engineering, Program Management, and Product development. You will qualify a large variety of APIs dependent on a multitude of ecosystems to deliver high quality services to Apple's customers.
You will be responsible for the following:
-
Define end-to-end test strategy for AI/ML-powered services in partnership with multi-functional stakeholders
-
Author test plans and identify edge cases, failure modes, and risk areas across distributed services and ML lifecycle pipelines
-
Develop and maintain automated API, service-level tests, and validations for data and ML pipelines, as features are being implemented
-
Design and evolve automation frameworks and tooling that scale across teams and product surfaces
-
Apply AI tooling and proof of concept models to build solutions that advance the rigor, coverage, and productivity of quality engineering
-
Drive best practices around quality gates, CI/CD, continuous training, and continuous testing, fostering a culture of built-in quality throughout the SDLC
-
Surface coverage gaps and drive process and architectural improvements across the SDLC through quality
-
Define and track quality metrics such as test coverage, flakiness, and pipeline reliability across systems
-
Mentor junior team members
MINIMUM QUALIFICATIONS
Bachelor’s degree with a minimum of 5 years, or Master’s degree with a minimum of 3 years, of experience in software development and/or test automation, including at least 3 years leading complex, distributed systems.
Proficiency in Java, Python or similar programming languages
Experience with planning and execution of validating REST and gRPC APIs
Passion for quality engineering and delivering large scale distributed systems
Creative problem solving with attention to detail
Solid communication skills and ability to collaborate with multiple collaborators
Highly organized, creative, self-motivated, and passionate about achieving results. Excited about the possibilities unlocked by AI and ML
Advocacy for a positive customer experience
PREFERRED QUALIFICATIONS
Knowledge of Big Data systems is a plus
Experience with testing or working with AI and/or ML systems is a plus
Adept at leveraging technology to solve problems, including building tooling, automating tasks
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 $134,800 and $245,800, 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.
INTRODUCTION
Imagine what we could do together. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what we could accomplish!
The Apple Services Engineering team is one of the most exciting examples of Apple's long-held passion for combining art and technology. The products we build power the intelligence behind App Store, Apple TV, Apple Games, Apple Music, Apple Podcasts, Apple Books, Apple Sports and Apple Fitness. And we do it on a massive scale, meeting Apple's high standard for quality and excellence, to deliver a huge variety of entertainment in over 50+ languages to more than 150 countries. If you are looking for an opportunity to grow in a technical capacity by leveraging your skills along with building up solid domain knowledge and automated testing strategies and systems around Apple's services offerings in the AI/ML space, we would love to talk to you!
DESCRIPTION
The Apple Services Engineering AI/ML Quality organization is looking for a Quality Engineer with a passion for building and validating quality systems at scale, with strong experience in leading multi-functional projects, developing test and automation strategies in a fast moving team, partnering across Quality, Engineering, Program Management, and Product development. You will qualify a large variety of APIs dependent on a multitude of ecosystems to deliver high quality services to Apple's customers.
You will be responsible for the following:
-
Define end-to-end test strategy for AI/ML-powered services in partnership with multi-functional stakeholders
-
Author test plans and identify edge cases, failure modes, and risk areas across distributed services and ML lifecycle pipelines
-
Develop and maintain automated API, service-level tests, and validations for data and ML pipelines, as features are being implemented
-
Design and evolve automation frameworks and tooling that scale across teams and product surfaces
-
Apply AI tooling and proof of concept models to build solutions that advance the rigor, coverage, and productivity of quality engineering
-
Drive best practices around quality gates, CI/CD, continuous training, and continuous testing, fostering a culture of built-in quality throughout the SDLC
-
Surface coverage gaps and drive process and architectural improvements across the SDLC through quality
-
Define and track quality metrics such as test coverage, flakiness, and pipeline reliability across systems
-
Mentor junior team members
MINIMUM QUALIFICATIONS
Bachelor’s degree with a minimum of 5 years, or Master’s degree with a minimum of 3 years, of experience in software development and/or test automation, including at least 3 years leading complex, distributed systems.
Proficiency in Java, Python or similar programming languages
Experience with planning and execution of validating REST and gRPC APIs
Passion for quality engineering and delivering large scale distributed systems
Creative problem solving with attention to detail
Solid communication skills and ability to collaborate with multiple collaborators
Highly organized, creative, self-motivated, and passionate about achieving results. Excited about the possibilities unlocked by AI and ML
Advocacy for a positive customer experience
PREFERRED QUALIFICATIONS
Knowledge of Big Data systems is a plus
Experience with testing or working with AI and/or ML systems is a plus
Adept at leveraging technology to solve problems, including building tooling, automating tasks
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 $134,800 and $245,800, 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.
See all 49+ TN Visa AI ML Platform Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new TN Visa AI ML Platform Jobs.
Get Access To All JobsTips for Finding TN Visa Sponsorship in AI ML Platform
Confirm your degree maps to the role
TN visa approval depends on a clear match between your degree field and the AI ML Platform job duties. A computer science or electrical engineering degree works cleanly. An unrelated bachelor's with ML coursework can create problems at the border or consulate.
Target employers with existing TN infrastructure
Companies that have sponsored TN visas before already know how to write the support letter and structure job duties correctly. Look for roles at mid-to-large tech firms in cloud infrastructure, MLOps, and AI platform engineering, where TN filings are routine.
Audit your job offer letter before accepting
The employer support letter must name the correct TN occupational category, describe duties that align with it, and state the position is temporary. Vague or overly broad job descriptions are a common reason CBP officers push back at Canadian ports of entry.
Use Migrate Mate to find sponsoring employers
Search Migrate Mate to identify AI ML Platform roles at employers that actively support TN visa sponsorship. It filters by visa type so you're not cold-applying to companies unfamiliar with the process.
Prepare for Computer Systems Analyst classification scrutiny
If your employer classifies the role under Computer Systems Analyst rather than Engineer, CBP may ask how your duties involve analyzing and designing systems rather than building models. Prepare a plain-language explanation of your day-to-day responsibilities that aligns with the TN occupation category your employer has listed in the support letter.
Plan your Mexican national consular appointment early
Unlike Canadians who can get TN status at the port of entry, Mexican nationals must schedule a consular interview. Appointment availability varies significantly by location. Starting the process before you have a final start date gives you room to handle scheduling delays without losing the offer.
AI ML Platform TN Visa: Frequently Asked Questions
Does an AI ML Platform role qualify for the TN visa?
Yes, most AI ML Platform positions qualify under either the Engineer or Computer Systems Analyst category, depending on how the role is defined and what degree you hold. Roles centered on designing and deploying ML infrastructure typically fit Engineer. Roles focused on systems analysis and integration often fit Computer Systems Analyst. Your employer's support letter needs to match the duties to the right category precisely.
How does TN compare to H-1B for AI ML Platform jobs?
TN has no annual lottery, no cap for Canadians, and no USCIS petition process, which means faster approvals and no chance of being left out by random selection. H-1B visa requires employer sponsorship through a USCIS filing and exposes you to lottery risk. For AI ML Platform roles where the specialty occupation and degree requirements overlap cleanly with TN categories, TN is a more predictable path.
Can I switch employers while working on a TN visa in an AI ML Platform role?
Yes, but TN status is employer-specific. When you change jobs, your new employer must provide a fresh support letter and you'll need to obtain a new TN, either at a Canadian port of entry or through a USCIS change-of-status filing. You cannot simply carry your existing TN to a new company the way you can port an H-1B under certain conditions.
Where can I find AI ML Platform jobs that support TN visa sponsorship?
Migrate Mate is built specifically for this search. It surfaces AI ML Platform roles at employers that actively offer TN visa sponsorship, so you're targeting companies already set up to handle the support letter and filing process rather than educating employers from scratch. Filtering by TN visa type narrows your results to relevant opportunities from the start.
What documents do I need as a Mexican national applying for a TN visa in an AI ML Platform role?
You'll need a valid passport, DS-160 confirmation, the USCIS MRV fee receipt, a consular appointment, your employer's TN support letter specifying the occupational category and position duration, and proof of your qualifying degree. If your degree is from a Mexican institution, having an official English translation and any credential evaluation ready reduces the chance of administrative processing delays.