TN Visa Machine Learning Manager Jobs
Machine Learning Manager roles qualify for TN visa sponsorship under USMCA's Computer Systems Analyst category, provided your job duties center on systems design and analysis rather than pure research. Canadian citizens can apply at the border; Mexican citizens go through consular processing. Employers file no lottery petition, making offers faster to execute than H-1B visa.
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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 Manager Jobs
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Get Access To All JobsTips for Finding TN Visa Sponsorship as a Machine Learning Manager
Frame your credentials around systems analysis
TN visa classification for ML Manager roles hinges on Computer Systems Analyst duties, not research. Your resume and support letter must emphasize system design, integration, and deployment work over academic or experimental ML activities.
Verify your degree maps to the category
CBP officers scrutinize whether your computer science, engineering, or applied math degree aligns with the Computer Systems Analyst classification. A degree in an unrelated field without clear course equivalency creates denial risk at the port of entry.
Target employers with active USMCA filing history
Prioritize companies with recent visa filing experience. Employers who have sponsored work visas before typically have streamlined internal processes and understand visa sponsorship requirements, so they're less likely to delay your offer due to legal review complications.
Get your job offer letter TN-specific before crossing
Canadian citizens present their TN package directly to CBP at the border, so your employer's support letter must name the USMCA category, describe qualifying duties, and state the employment period. A vague letter causes on-the-spot denial with no appeal.
Search for TN-ready ML Manager roles using Migrate Mate
Filter specifically for Machine Learning Manager positions where employers have indicated TN visa sponsorship. Migrate Mate surfaces roles by visa type so you're not cold-applying to companies unfamiliar with USMCA professional classifications.
Plan Mexican consular processing timelines into your start date
Mexican nationals must schedule a consular interview, which adds weeks to your timeline. Build at least 60 days between your signed offer and your target start date to account for appointment availability and document preparation.
Machine Learning Manager TN Visa: Frequently Asked Questions
Does a Machine Learning Manager role qualify for TN visa status?
Yes, if your duties align with the Computer Systems Analyst classification under USMCA. CBP evaluates the actual job responsibilities, not the title. Your role must center on designing, analyzing, and deploying ML systems rather than conducting independent research. Pure research roles are more likely to face scrutiny or denial at the port of entry.
How does TN visa sponsorship compare to H-1B for this role?
TN has no annual lottery, no cap for Canadians, and no multi-month USCIS adjudication wait. H-1B requires registration in March, lottery selection, and a lengthy petition process before you can start. For a qualified Canadian ML Manager, TN sponsorship can result in approval the same day you present at the border, making it dramatically faster to execute.
What documents does my employer need to prepare for my TN application?
Your employer must provide a detailed support letter on company letterhead stating your job title, USMCA classification, a description of qualifying duties, your salary, and the length of employment. Canadian applicants present this letter directly to CBP. Mexican nationals submit it as part of their DS-160 consular package. The letter is the centerpiece of your application and must be role-specific.
Where can I find Machine Learning Manager jobs that already offer TN visa sponsorship?
Migrate Mate lets you search specifically for Machine Learning Manager positions where employers have confirmed TN visa sponsorship. This avoids the common problem of applying to roles where the hiring team is unfamiliar with USMCA classifications and stalls or withdraws offers once the visa process starts.
Can I switch employers or get promoted while on TN status as an ML Manager?
Changing employers requires a new TN application tied to the new company. Canadians can handle this at a port of entry, but any gap in employment or a role change that shifts your duties outside the Computer Systems Analyst classification creates exposure. A promotion within the same employer that significantly changes your responsibilities should be reviewed to confirm it still supports your TN category.