TN Visa Senior ML Engineer Jobs
Senior ML Engineer roles qualify for TN visa sponsorship under the USMCA's engineer and scientist categories. Canadian citizens can apply at the border with an offer letter; Mexicans require consular processing. Your degree must align directly with the ML engineering responsibilities in your job offer.
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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 Senior ML Engineer Jobs
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Get Access To All JobsTips for Finding TN Visa Sponsorship as a Senior ML Engineer
Align your degree title precisely
TN visa officers assess whether your credential matches the role description, not just the field. A degree in Computer Science or Electrical Engineering maps cleanly to ML Engineering. A degree in Mathematics or Statistics needs a stronger job description connecting it to engineering functions.
Request an ML-specific offer letter
Your offer letter is your filing document. Ask your employer to specify ML frameworks, model deployment responsibilities, and the engineering nature of the work. Generic 'software engineering' language can trigger scrutiny when the role is titled Senior ML Engineer.
Target employers with recent visa sponsorship experience
Companies that regularly file work visa petitions for engineering roles already demonstrate experience with visa sponsorship processes. Filtering for employers with recent visa filings in machine learning or software occupations means they're familiar with supporting skilled workers and can prepare the support letter needed for your TN visa application at the port of entry or consulate.
Use Migrate Mate to find TN-ready employers
Search Migrate Mate to surface Senior ML Engineer roles at companies that have sponsored TN visas before. Focusing your applications on employers with proven sponsorship history cuts the time you spend educating hiring teams about the process.
Prepare Canadian citizens for port-of-entry filing
As a Canadian, you can request TN status directly at a land border or airport without a prior visa appointment. Bring your degree transcripts, the certified offer letter, and a concise employer support letter explaining the specialty occupation classification.
Clarify the ML role's specialty occupation status early
ML engineering sits at the intersection of computer science and applied research. If a recruiter asks whether the role qualifies, explain that TN covers engineers and scientists, and that your responsibilities involving model architecture and deployment satisfy the specialty occupation requirement.
Senior ML Engineer TN Visa: Frequently Asked Questions
Does a Senior ML Engineer role qualify for TN visa status?
Yes. Senior ML Engineer roles qualify under the USMCA's engineer and scientist categories when the position requires a bachelor's degree or higher in a directly related field such as Computer Science, Electrical Engineering, or a closely aligned discipline. The job duties must reflect engineering functions, not general technical support or data analysis without a design or architecture component.
How does TN visa sponsorship compare to H-1B for Senior ML Engineers?
TN has no annual lottery and no cap for Canadian citizens, so you can start a Senior ML Engineer role within weeks of receiving an offer rather than waiting for a lottery result. Mexicans require consular processing but still avoid the H-1B lottery. The trade-off is that TN does not support dual intent, meaning it cannot serve as a direct path to a green card the way H-1B visa petitions can.
Where can I find Senior ML Engineer jobs with TN visa sponsorship?
Migrate Mate is built specifically for Canadian and Mexican professionals seeking U.S. roles with TN sponsorship. You can filter for Senior ML Engineer positions at employers with recent visa filings for similar roles, which signals they have experience with visa sponsorship and may be prepared to support TN candidates from day one.
What documents does my employer need to provide for my TN application?
Your employer must provide a signed offer letter on company letterhead that states your job title, a description of ML engineering duties, your required credentials, the duration of employment, and your compensation. For Canadian citizens applying at the border, this letter is the core filing document. USCIS Form I-129 is required only if your employer files a petition for change of status from inside the U.S.
Can I switch TN employers if I receive a better Senior ML Engineer offer?
Yes, but you need new TN authorization before starting with the new employer. Canadians can apply at the port of entry with the new offer letter. Mexicans must obtain a new TN visa at a U.S. consulate. You cannot simply transfer TN status the way an H-1B portability provision would allow, so plan your transition timeline to avoid a gap in authorized employment.