TN Visa AI Specialist Jobs
AI Specialist roles qualify for TN visa sponsorship under the USMCA treaty's Computer Systems Analyst category. Canadian citizens can secure TN status at the border or port of entry the same day. Mexican nationals apply through a U.S. consulate. No lottery, no annual cap for Canadians.
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Get Access To All JobsINTRODUCTION
Meta is seeking a distinguished Software Engineer with deep AI specialization to drive transformative technical initiatives across Meta's AI-powered products and platforms. In this role, you will define and lead the architectural direction of large-scale AI systems — spanning foundation models, intelligent ranking and recommendation infrastructure, and applied machine learning pipelines — that serve billions of users across Meta's family of apps. You will identify and solve the hardest AI engineering challenges in the organization, set technical standards that span multiple teams, and leverage AI as a force multiplier to unlock capabilities previously considered intractable. This is a role for a technical leader who operates at the intersection of cutting-edge AI research and production-scale engineering, shaping both the systems and the culture that power Meta's AI future.
Software Engineer, AI Specialist - Monetization (Technical Leadership) Responsibilities:
- Identify and solve the most complex AI systems engineering challenges across the organization, including architecting large-scale machine learning training and inference infrastructure that operates at Meta's global scale
- Define extensible technical foundations and cross-organizational standards for AI model development, evaluation, and deployment pipelines that favor consistency and long-term maintainability
- Drive the technical vision and multi-year roadmap for AI platform capabilities, influencing priorities across multiple engineering teams and cross-functional partners including research, product, and data science
- Evaluate emerging AI architectures, model paradigms, and industry developments to identify opportunities and risks relevant to Meta's competitive position, and translate findings into actionable engineering strategy
- Lead the design and implementation of AI systems where correctness, reliability, and performance are rigorously proven, establishing invariants and testing frameworks that prevent entire categories of model and system failures
- Identify where AI tooling and automation can eliminate entire categories of engineering work, and drive adoption of AI-native workflows across engineering teams to exponentially increase organizational throughput
- Collaborate with research scientists and applied researchers to translate novel AI techniques from prototype into production systems that deliver measurable improvements to key product metrics
- Mentor engineers across the organization by providing customized technical coaching, leading engineering programs such as architecture reviews and AI craft initiatives, and establishing a culture of rigor and thoroughness
- Partner with legal, policy, and compliance teams to ensure AI systems meet privacy, security, and integrity standards, and set the bar for responsible AI development practices across the business domain
- Define new metrics and data-driven decision-making principles for long-term, cross-team AI initiatives, connecting technical outcomes to organization-level priorities and business impact
MINIMUM QUALIFICATIONS:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 12+ years of experience in software engineering with a focus on AI, machine learning systems, or applied deep learning in production environments
- Experience architecting and delivering large-scale AI or machine learning systems — including training infrastructure, model serving, ranking, recommendation, or foundation model pipelines — that operate at significant scale
- Experience leading multi-team technical initiatives end-to-end, including defining strategy, driving cross-functional alignment, and delivering measurable outcomes against organization-level goals
- Experience identifying and resolving systemic engineering issues that span multiple systems or abstraction layers, including developing frameworks that prevent recurring classes of failures
- Experience communicating complex AI system designs and technical trade-offs in writing and presentations to both technical and non-technical audiences, including engineering leadership
PREFERRED QUALIFICATIONS:
- Experience applying AI and automation tooling to eliminate categories of engineering toil and measurably improve team-level or organization-level engineering efficiency
- Contributions to peer-reviewed AI or systems research (e.g., NeurIPS, ICML, ICLR, MLSys, OSDI) or demonstrated track record of translating research advances into production AI systems
- Experience with large-scale model training optimization, distributed training frameworks, or inference efficiency techniques such as quantization, distillation, or speculative decoding
- Experience defining and operationalizing privacy-preserving or safety-aware AI system designs in collaboration with policy, legal, or compliance stakeholders
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
- Salary Range: $219,000/year to $301,000/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 a distinguished Software Engineer with deep AI specialization to drive transformative technical initiatives across Meta's AI-powered products and platforms. In this role, you will define and lead the architectural direction of large-scale AI systems — spanning foundation models, intelligent ranking and recommendation infrastructure, and applied machine learning pipelines — that serve billions of users across Meta's family of apps. You will identify and solve the hardest AI engineering challenges in the organization, set technical standards that span multiple teams, and leverage AI as a force multiplier to unlock capabilities previously considered intractable. This is a role for a technical leader who operates at the intersection of cutting-edge AI research and production-scale engineering, shaping both the systems and the culture that power Meta's AI future.
Software Engineer, AI Specialist - Monetization (Technical Leadership) Responsibilities:
- Identify and solve the most complex AI systems engineering challenges across the organization, including architecting large-scale machine learning training and inference infrastructure that operates at Meta's global scale
- Define extensible technical foundations and cross-organizational standards for AI model development, evaluation, and deployment pipelines that favor consistency and long-term maintainability
- Drive the technical vision and multi-year roadmap for AI platform capabilities, influencing priorities across multiple engineering teams and cross-functional partners including research, product, and data science
- Evaluate emerging AI architectures, model paradigms, and industry developments to identify opportunities and risks relevant to Meta's competitive position, and translate findings into actionable engineering strategy
- Lead the design and implementation of AI systems where correctness, reliability, and performance are rigorously proven, establishing invariants and testing frameworks that prevent entire categories of model and system failures
- Identify where AI tooling and automation can eliminate entire categories of engineering work, and drive adoption of AI-native workflows across engineering teams to exponentially increase organizational throughput
- Collaborate with research scientists and applied researchers to translate novel AI techniques from prototype into production systems that deliver measurable improvements to key product metrics
- Mentor engineers across the organization by providing customized technical coaching, leading engineering programs such as architecture reviews and AI craft initiatives, and establishing a culture of rigor and thoroughness
- Partner with legal, policy, and compliance teams to ensure AI systems meet privacy, security, and integrity standards, and set the bar for responsible AI development practices across the business domain
- Define new metrics and data-driven decision-making principles for long-term, cross-team AI initiatives, connecting technical outcomes to organization-level priorities and business impact
MINIMUM QUALIFICATIONS:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 12+ years of experience in software engineering with a focus on AI, machine learning systems, or applied deep learning in production environments
- Experience architecting and delivering large-scale AI or machine learning systems — including training infrastructure, model serving, ranking, recommendation, or foundation model pipelines — that operate at significant scale
- Experience leading multi-team technical initiatives end-to-end, including defining strategy, driving cross-functional alignment, and delivering measurable outcomes against organization-level goals
- Experience identifying and resolving systemic engineering issues that span multiple systems or abstraction layers, including developing frameworks that prevent recurring classes of failures
- Experience communicating complex AI system designs and technical trade-offs in writing and presentations to both technical and non-technical audiences, including engineering leadership
PREFERRED QUALIFICATIONS:
- Experience applying AI and automation tooling to eliminate categories of engineering toil and measurably improve team-level or organization-level engineering efficiency
- Contributions to peer-reviewed AI or systems research (e.g., NeurIPS, ICML, ICLR, MLSys, OSDI) or demonstrated track record of translating research advances into production AI systems
- Experience with large-scale model training optimization, distributed training frameworks, or inference efficiency techniques such as quantization, distillation, or speculative decoding
- Experience defining and operationalizing privacy-preserving or safety-aware AI system designs in collaboration with policy, legal, or compliance stakeholders
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
- Salary Range: $219,000/year to $301,000/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 116+ AI Specialist jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Specialist roles.
Get Access To All JobsTips for Finding TN Visa Sponsorship as an AI Specialist
Frame your credentials around Computer Systems Analyst
TN visas don't have an AI Specialist category. Your degree and job duties must map to Computer Systems Analyst. A computer science or engineering degree works; a general business degree paired with AI work typically won't survive scrutiny.
Request a support letter before accepting any offer
Your employer's TN support letter must describe your AI duties in terms CBP or a consular officer recognizes as qualifying. Get a draft before you sign. Vague titles like 'AI Lead' need precise duty language to hold up at the port of entry.
Target employers with recent visa sponsorship experience
Companies with recent visa filings demonstrate familiarity with specialty worker compliance. Look for employers experienced with work visa sponsorship in tech roles—they already have immigration processes in place and won't treat your TN application as their first. These established sponsors understand the documentation requirements and can move quickly through the TN support letter process.
Use Migrate Mate to find TN-sponsoring AI roles directly
Migrate Mate filters AI Specialist jobs by TN visa sponsorship history, so you're not manually researching which employers have filed before. Search by role and location, then apply knowing the employer is already familiar with TN requirements.
Prepare for secondary inspection if your AI duties sound ambiguous
CBP officers assess TN petitions on the spot. If your role blends AI research with product management or business strategy, the officer may refer you to secondary inspection. Carry a detailed duty breakdown and your degree transcripts to resolve questions without delay.
Understand Mexico's TN cap before your consulate appointment
Mexican nationals face a 5,500 annual TN allocation. Appointments at U.S. consulates in Mexico fill quickly as the fiscal year progresses. Schedule your consulate interview early and have all documentation ready so a rescheduled appointment doesn't cost you months of wait time.
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Find AI Specialist JobsAI Specialist TN Visa: Frequently Asked Questions
Does the TN visa have a specific category for AI Specialist roles?
No. The USMCA treaty doesn't list AI Specialist as a standalone category. AI Specialist roles qualify under Computer Systems Analyst, which covers professionals who analyze, design, and implement computer-based systems. Your job offer and duties must align with that definition. A mismatch between your title and your described responsibilities is the most common reason TN applications for AI roles get questioned at the port of entry.
How does TN compare to H-1B for AI Specialist positions?
TN has no annual lottery, no cap for Canadian citizens, and can be approved the same day at a port of entry. H-1B requires a lottery registration in March, a cap of 85,000 visas annually, and a process that takes months even after selection. For Canadian AI professionals with a qualifying degree and a clean job offer, TN is faster and more predictable than H-1B in nearly every situation where both apply.
What documents does a Canadian AI Specialist need at the border for TN entry?
You'll need a valid Canadian passport, a support letter from your U.S. employer on company letterhead describing your AI duties and confirming the position qualifies as Computer Systems Analyst, proof of your qualifying degree, and evidence of your professional background such as a resume or transcripts. CBP officers review all of this on the spot, so every document should be organized and ready before you approach the primary inspection counter.
Where can I find AI Specialist jobs that already offer TN visa sponsorship?
Migrate Mate is built specifically for TN visa job seekers. You can search AI Specialist roles filtered by employers with recent visa filings, which removes the guesswork of cold-applying to companies unfamiliar with work visa sponsorship. That targeting saves time and increases your chances of reaching hiring managers at organizations experienced with visa-sponsored roles.
Can a Mexican AI Specialist use TN to enter the U.S. if they're already working in Canada?
Yes. Mexican nationals are eligible for TN regardless of where they currently reside. If you're working in Canada, you'd apply at a U.S. consulate in Canada or return to Mexico for a consular appointment. The 5,500 annual cap for Mexican TN holders still applies. Your application is assessed on the same Computer Systems Analyst criteria as any other Mexican TN applicant, not on your current country of residence.
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