TN Visa Machine Learning Jobs
Machine Learning roles qualify for TN visa sponsorship under the Engineer or Computer Systems Analyst categories, depending on how the position is structured. Canadian citizens can secure TN status at the border with no cap or lottery. Mexican citizens require a consular appointment. A qualifying bachelor's degree in a technical 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.
See all 42+ TN Visa Machine Learning Jobs
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Get Access To All JobsTips for Finding TN Visa Sponsorship in Machine Learning
Match your degree to the TN category
TN visa approval for Machine Learning roles depends on whether your employer files under Engineer or Computer Systems Analyst. Your degree field must align with whichever category the job description supports. A mismatch is the most common denial trigger.
Request an offer letter that names TN
Your offer letter must explicitly state the TN category, your specific duties, and the employment period. Employers who routinely sponsor H-1B visa often need prompting to format a TN support letter correctly since the requirements differ significantly.
Target employers with active ML research teams
Companies running dedicated Machine Learning infrastructure are more likely to understand work visa sponsorship processes. Look for job postings from employers with recent visa filings, research publications, or roles requiring specialized technical degrees, which signal prior experience navigating work authorization requirements.
Prepare your credential documents before applying
Gather your degree transcripts, any credential evaluations, and a detailed job description before you start applications. Canadian citizens presenting at the port of entry need everything ready on the spot since CBSA reviews documentation immediately.
Use Migrate Mate to filter for TN-ready employers
Searching broadly wastes time on employers unfamiliar with TN visa mechanics. Migrate Mate lets you filter Machine Learning roles by companies that have sponsored TN or similar work visas, so you focus on employers who won't need education on the process.
Clarify the job title before the offer stage
Job titles in Machine Learning vary widely. 'AI Engineer,' 'Data Scientist,' and 'ML Researcher' can map to different TN categories. Confirm with your prospective employer which title will appear on the support letter before any filing or border appointment.
Machine Learning TN Visa: Frequently Asked Questions
Does a Machine Learning job qualify for a TN visa?
Machine Learning roles can qualify under the Engineer or Computer Systems Analyst TN category, depending on how the job duties are framed and your degree field. The role must require at least a bachelor's degree in a directly related technical discipline. A generic 'technology' degree without clear alignment to the job description can cause problems at the border or consulate.
How does TN compare to H-1B for Machine Learning professionals?
TN is often faster and more predictable for Machine Learning roles than H-1B. Canadians can get TN status at the port of entry in a single day, with no lottery and no cap. H-1B requires an annual lottery with roughly a 25 percent selection rate and a six-month wait. Mexican nationals face a TN cap of 5,500 per year, so H-1B may be worth pursuing as a parallel path if you anticipate long-term U.S. employment.
Can a Canadian Machine Learning professional get TN status without a job offer already in hand?
No. TN status requires a concrete job offer from a specific U.S. employer before you can apply. You cannot get TN status speculatively or as a job-search visa. The offer letter must describe your duties, confirm the TN category, and state the employment period. Only after that letter exists can a Canadian present at the border or a Mexican schedule a consular appointment.
Where can I find Machine Learning jobs where the employer is already familiar with TN sponsorship?
Migrate Mate is built specifically for this search. It surfaces Machine Learning roles at companies with documented work visa sponsorship history, so you avoid spending time on employers who will decline or delay because they don't understand TN mechanics. Searching with that filter significantly shortens the time between application and offer.
What happens if my TN visa is denied at the border for a Machine Learning role?
If CBSA or CBP denies your TN application, you can reapply at a different port of entry or consulate once you've addressed the reason for denial, which is typically a documentation gap or a degree-to-job mismatch. There is no mandatory waiting period for reapplication. You should revise your support letter and, if the category was the issue, confirm with your employer that the job description supports the intended TN classification before reapplying.