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
Meta is seeking highly skilled Design Engineers to join our team. In this role, you will contribute to the development of advanced technology solutions, including machine learning and network acceleration. You will collaborate with researchers and engineers to design, implement, and optimize low-power hardware accelerators, state-of-the-art SoCs, and custom silicon solutions that enable the next generation of innovative devices and hardware.
Machine Learning Digital Design Engineer Responsibilities:
- Contribute to ASIC digital µArchitecture and design
- Assist performance/power analysis of the design and help meet power and performance targets
- Work with architects to map algorithms onto the hardware and specify requirements for IP and subsystems integration
- Collaborate with adjacent teams such as Verification, Physical Design, and Design-for-Test
- Develop micro-architecture, RTL coding, and design verification for complex IPs
- Drive IP/sub-system micro-architecture and RTL design in collaboration with DV and PD leads
Minimum Qualifications:
- Experience in digital design µArchitecture, RTL coding, and micro-architecture development
- Experience communicating technical design decisions and trade-offs to cross-functional partners such as verification, physical design, and architecture teams
Preferred Qualifications:
- Experience in ML accelerator subsystems and top level design
- Experience in SoC integration and ASIC architecture
- Knowledge of microcontrollers, DSP, CDC and power sequence
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
COMPENSATION
- $178,000/year to $250,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
INTRODUCTION
Meta is seeking highly skilled Design Engineers to join our team. In this role, you will contribute to the development of advanced technology solutions, including machine learning and network acceleration. You will collaborate with researchers and engineers to design, implement, and optimize low-power hardware accelerators, state-of-the-art SoCs, and custom silicon solutions that enable the next generation of innovative devices and hardware.
Machine Learning Digital Design Engineer Responsibilities:
- Contribute to ASIC digital µArchitecture and design
- Assist performance/power analysis of the design and help meet power and performance targets
- Work with architects to map algorithms onto the hardware and specify requirements for IP and subsystems integration
- Collaborate with adjacent teams such as Verification, Physical Design, and Design-for-Test
- Develop micro-architecture, RTL coding, and design verification for complex IPs
- Drive IP/sub-system micro-architecture and RTL design in collaboration with DV and PD leads
Minimum Qualifications:
- Experience in digital design µArchitecture, RTL coding, and micro-architecture development
- Experience communicating technical design decisions and trade-offs to cross-functional partners such as verification, physical design, and architecture teams
Preferred Qualifications:
- Experience in ML accelerator subsystems and top level design
- Experience in SoC integration and ASIC architecture
- Knowledge of microcontrollers, DSP, CDC and power sequence
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
COMPENSATION
- $178,000/year to $250,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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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.