TN Visa AI ML Engineer Jobs
AI ML Engineer roles qualify for TN visa sponsorship under the USMCA's Computer Systems Analyst category, covering machine learning, model development, and AI infrastructure work. Canadian citizens can enter at the port of entry the same day their employer files. Mexican nationals require a consular appointment. No lottery, no cap for Canadians.
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Get Access To All JobsAbout Arc Institute
Arc Institute is an independent nonprofit research organization at the interface of artificial intelligence and biology, working to accelerate scientific progress and understand the root causes of complex diseases. Founded in 2021 and based in Palo Alto, Arc partners with Stanford University, UC Berkeley, and UC San Francisco.
Unlike academia, our scientists have long-term funding and industry-like resources. Unlike industry, they're free to pursue high-risk, long-term research without commercial pressures. Arc's Technology Centers and Core Investigator labs work side by side, integrating experimental and computational biology under one roof to tackle problems neither could solve alone.
Our two Institute Initiatives reflect this model in action:
- Virtual Cell Initiative: Building a full-stack virtual cell model to identify disease mechanisms and nominate drug targets, accelerating the path from biological insight to clinical trials.
- Alzheimer's Disease Initiative: Mapping the genes, pathways, and environmental factors behind Alzheimer's disease to develop drug candidates that address root causes.
More than 300 Arconauts work together at our Palo Alto headquarters, backed by substantial long-term philanthropic funding.
About the position
The Hsu Lab is looking for postdoctoral researchers, who are curious, creative and motivated to advance the state-of-the-art in generative AI applied to biology, including Arc’s frontier biological foundation models (Evo, Evo 2, State, Stack, Bioreason, and beyond). The successful candidate is passionate about developing ML models for biological understanding and design, leveraging frontier approaches such as novel ML architectures, post-training, agentic reasoning, and more. Current areas of interest of the lab include building predictive models of life (e.g. by integrating Evo and State), AI agents and systems, genome mining, and invention of new therapeutics through AI-guided approaches.
Postdocs in the lab are encouraged to lead ambitious, independent projects, resulting in high-impact publications. You will have the opportunity to collaborate widely across Arc, Stanford, and the broader Bay Area ecosystem, with access to strong platforms in our lab and our institutions for genomics, single-cell technologies, synthetic biology, high-performance computing clusters, and experimental model systems.
About you
- Extremely Curious & Self-Motivated: You push the boundaries of machine learning, biotechnology, and/or biomedical research.
- High-Velocity Researcher: You thrive in a fast-paced environment and have a bias for action, conducting rigorous and impactful research at scale.
- Intellectually Independent: You are a "first-principles" thinker, able to design new research directions and projects.
- Technical Polyglot: You are comfortable (or eager to become so) at the intersection of ML and computational biology, and eager to collaborate with wet-lab scientists.
- Puzzle Solver: You are excited by solving puzzles that have a translational impact and/or creating new therapeutic approaches.
In this position you will
- Conduct high-impact research: Design, execute, and analyze computational experiments; take end-to-end ownership of a research project within the lab’s scientific focus, with guidance from the PI and increasing independence as you develop expertise.
- Develop as a future scientific leader: Publish first-author papers in high-impact journals, present at national and international conferences, and build a network of collaborators across Arc, Stanford, and beyond.
- Foster scientific excellence: Mentor and train research associates, technicians, and students; engage in Arc-wide activities (seminars, symposia); contribute to a collaborative research environment; maintain rigorous coding standards and documentation; and contribute to lab operations including software development and maintaining shared infrastructure.
Requirements
- Ph.D. in Computer Science, Bioinformatics, Computational Biology, Genetics/Genomics
- Expertise with Python, bash, and standard deep learning frameworks such as PyTorch.
- Excellent written and verbal communication skills.
- Demonstrated ability to work in a fast-paced environment and be both an independent thinker and a highly collaborative team player.
- Track record of creative, high-impact research as demonstrated by publications, patents, developed tools, software etc.
The minimum base salary for this position is $80,000. Base salary for this role is determined by how many months of relevant postdoctoral experience a successful candidate has. Base salary for this role is not negotiable.
About Arc Institute
Arc Institute is an independent nonprofit research organization at the interface of artificial intelligence and biology, working to accelerate scientific progress and understand the root causes of complex diseases. Founded in 2021 and based in Palo Alto, Arc partners with Stanford University, UC Berkeley, and UC San Francisco.
Unlike academia, our scientists have long-term funding and industry-like resources. Unlike industry, they're free to pursue high-risk, long-term research without commercial pressures. Arc's Technology Centers and Core Investigator labs work side by side, integrating experimental and computational biology under one roof to tackle problems neither could solve alone.
Our two Institute Initiatives reflect this model in action:
- Virtual Cell Initiative: Building a full-stack virtual cell model to identify disease mechanisms and nominate drug targets, accelerating the path from biological insight to clinical trials.
- Alzheimer's Disease Initiative: Mapping the genes, pathways, and environmental factors behind Alzheimer's disease to develop drug candidates that address root causes.
More than 300 Arconauts work together at our Palo Alto headquarters, backed by substantial long-term philanthropic funding.
About the position
The Hsu Lab is looking for postdoctoral researchers, who are curious, creative and motivated to advance the state-of-the-art in generative AI applied to biology, including Arc’s frontier biological foundation models (Evo, Evo 2, State, Stack, Bioreason, and beyond). The successful candidate is passionate about developing ML models for biological understanding and design, leveraging frontier approaches such as novel ML architectures, post-training, agentic reasoning, and more. Current areas of interest of the lab include building predictive models of life (e.g. by integrating Evo and State), AI agents and systems, genome mining, and invention of new therapeutics through AI-guided approaches.
Postdocs in the lab are encouraged to lead ambitious, independent projects, resulting in high-impact publications. You will have the opportunity to collaborate widely across Arc, Stanford, and the broader Bay Area ecosystem, with access to strong platforms in our lab and our institutions for genomics, single-cell technologies, synthetic biology, high-performance computing clusters, and experimental model systems.
About you
- Extremely Curious & Self-Motivated: You push the boundaries of machine learning, biotechnology, and/or biomedical research.
- High-Velocity Researcher: You thrive in a fast-paced environment and have a bias for action, conducting rigorous and impactful research at scale.
- Intellectually Independent: You are a "first-principles" thinker, able to design new research directions and projects.
- Technical Polyglot: You are comfortable (or eager to become so) at the intersection of ML and computational biology, and eager to collaborate with wet-lab scientists.
- Puzzle Solver: You are excited by solving puzzles that have a translational impact and/or creating new therapeutic approaches.
In this position you will
- Conduct high-impact research: Design, execute, and analyze computational experiments; take end-to-end ownership of a research project within the lab’s scientific focus, with guidance from the PI and increasing independence as you develop expertise.
- Develop as a future scientific leader: Publish first-author papers in high-impact journals, present at national and international conferences, and build a network of collaborators across Arc, Stanford, and beyond.
- Foster scientific excellence: Mentor and train research associates, technicians, and students; engage in Arc-wide activities (seminars, symposia); contribute to a collaborative research environment; maintain rigorous coding standards and documentation; and contribute to lab operations including software development and maintaining shared infrastructure.
Requirements
- Ph.D. in Computer Science, Bioinformatics, Computational Biology, Genetics/Genomics
- Expertise with Python, bash, and standard deep learning frameworks such as PyTorch.
- Excellent written and verbal communication skills.
- Demonstrated ability to work in a fast-paced environment and be both an independent thinker and a highly collaborative team player.
- Track record of creative, high-impact research as demonstrated by publications, patents, developed tools, software etc.
The minimum base salary for this position is $80,000. Base salary for this role is determined by how many months of relevant postdoctoral experience a successful candidate has. Base salary for this role is not negotiable.
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Get Access To All JobsTips for Finding TN Visa Sponsorship as an AI ML Engineer
Match your credentials to the right TN category
AI ML Engineer roles file under Computer Systems Analyst, but your degree field matters. A computer science or software engineering degree is clean. A math or statistics degree needs a role description that centers systems design, not pure research, to hold up at inspection.
Prepare a technical role letter that passes CBP review
Your employer's support letter must describe day-to-day duties in systems terms, not research terms. CBP officers are not ML experts. Phrases like 'designing and deploying machine learning pipelines' land better than 'conducting experiments in model optimization.'
Target employers with recent visa filing experience
Employers with recent visa filings for similar roles demonstrate experience with work visa sponsorship processes. Look for companies hiring AI/ML engineers that have sponsored work visas before—these employers typically understand the support letter requirements and professional qualifications needed for TN visa status eligibility.
Ask about Canadian versus Mexican processing timelines before accepting
Canadian citizens can activate TN status at the port of entry the day the offer is finalized. Mexican nationals need a consular appointment, which adds weeks. Clarify this with your employer before signing so your start date is realistic.
Use Migrate Mate to find employers already sponsoring TN visas
Many AI ML Engineer openings never mention TN sponsorship explicitly. Migrate Mate surfaces employers with recent visa filings and experience sponsoring work visas, so you can focus your applications on companies already familiar with visa-sponsored hiring before your first interview.
Get your job offer letter reviewed before crossing the border
For Canadians using port-of-entry processing, CBP can deny entry on the spot if your offer letter is ambiguous. Have your employer confirm that the letter explicitly states your title, duties, degree requirement, and that the position qualifies as a specialty occupation under USMCA.
AI ML Engineer TN Visa: Frequently Asked Questions
Does an AI ML Engineer role qualify for TN visa sponsorship?
Yes, provided the role is framed around systems analysis, model deployment, or AI infrastructure rather than pure academic research. USCIS and CBP evaluate TN petitions for these roles under the Computer Systems Analyst category. Your employer's offer letter must establish that a theoretical and practical application of computer systems knowledge is central to the position.
How does TN compare to H-1B for AI ML Engineer positions?
TN has no annual cap and no lottery for Canadian citizens, so you can start working as soon as CBP approves your application at the port of entry. H-1B visa requires entering an oversubscribed lottery with a single annual window. TN is employer-tied and non-dual-intent, but it renews indefinitely in two-year increments as long as you hold a qualifying offer.
Can a Mexican citizen get TN sponsorship for an AI ML Engineer job?
Yes, but the process differs from Canada's. Mexican nationals must apply at a U.S. consulate in Mexico rather than at the border, which adds scheduling time. USCIS also administers a separate TN petition route for Mexican applicants. There is a numerical limit on TN visas for Mexican citizens annually, unlike the uncapped Canadian stream.
Where can I find AI ML Engineer jobs that already offer TN visa sponsorship?
Migrate Mate specializes in connecting Canadian and Mexican professionals with employers that have verified TN visa sponsorship history. Rather than filtering generic job listings by hand, Migrate Mate surfaces roles where employers are already familiar with TN requirements for technical positions like AI ML Engineer, which reduces friction at the offer stage.
What happens to my TN status if my AI ML Engineer role changes significantly?
A material change in job duties, title, or employer requires a new TN petition. If your role shifts from systems-focused ML engineering into research or product management, CBP or USCIS may determine the position no longer qualifies under Computer Systems Analyst. Your employer should file an amended or new TN before the duties change, not after.