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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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.
See all 42+ TN Visa Machine Learning Engineer Jobs
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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 visa 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 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 visa 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.