TN Visa AI ML Engineering Jobs
AI ML Engineering roles qualify for TN visa sponsorship under the USMCA's Computer Systems Analyst and Engineer categories. Canadian citizens can enter without a cap or lottery. Mexican citizens work within an annual allocation. Your degree in computer science, AI, or a related engineering field is the core credential officers evaluate.
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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.
See all TN Visa AI ML Engineering Jobs
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Get Access To All JobsTips for Finding TN Visa Sponsorship in AI ML Engineering
Align your credentials to TN categories
TN visa status for AI ML roles typically files under Computer Systems Analyst or Engineer. Your degree field must match the job description on paper. A machine learning role titled 'Scientist' without an engineering framing can trigger officer scrutiny at the port of entry.
Target employers with recent visa filing experience
Employers with recent visa filings for engineering or computer systems roles demonstrate experience with work visa sponsorship processes. Prioritize companies that can prepare a detailed support letter efficiently for your port-of-entry or consulate application, as this document is essential for TN status approval.
Request a precisely worded offer letter
Your offer letter is your primary TN document. It must state your specific AI ML duties, confirm the role requires a bachelor's degree in a qualifying field, and specify the employment period. Vague language like 'software duties' has caused TN denials for technical roles.
Prepare for port-of-entry inspection as a Canadian
Canadian citizens apply for TN status directly at a U.S. land border or airport port of entry, with no visa stamp required. Bring your offer letter, degree transcripts, and any professional certifications. CBP officers make the final admissibility decision on the spot.
Use Migrate Mate to find sponsoring employers
Many AI ML Engineering roles are open to TN candidates but don't advertise it. Use Migrate Mate to filter specifically for companies offering TN visa sponsorship, so you're targeting employers already prepared to support the filing process.
Understand Mexican TN processing through a consulate
Mexican citizens must apply for a TN visa at a U.S. consulate rather than a port of entry, following a DS-160 application and interview. USCIS processes TN petitions filed by employers on behalf of Mexican nationals, adding lead time you should build into your start-date negotiation.
AI ML Engineering TN Visa: Frequently Asked Questions
Does an AI ML Engineering role qualify for TN visa status?
Yes, if the role is structured correctly. AI ML Engineering positions typically qualify under the Computer Systems Analyst or Engineer categories defined by USMCA. The offer letter must describe duties that align with those categories and confirm a degree requirement in computer science, engineering, mathematics, or a directly related field. Roles titled 'AI Researcher' or 'Data Scientist' may need additional framing to satisfy a CBP officer.
How does TN compare to H-1B for AI ML Engineering jobs?
TN has no annual lottery and no cap 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 a random lottery in April with selection rates well below 50% and a wait until October even if selected. For Canadian AI ML engineers with a qualifying offer, TN is a faster and more predictable path. Mexican nationals face an annual TN allocation, which adds some uncertainty.
How do I find employers who will sponsor TN visa status for AI ML roles?
Many tech companies that hire AI ML engineers are open to TN candidates but don't advertise sponsorship explicitly. Migrate Mate lets you search specifically for TN-sponsoring employers, filtering out companies that only support H-1B or are unfamiliar with USMCA categories. This saves significant time compared to applying broadly and discovering sponsorship limitations late in the process.
Can I switch AI ML Engineering employers on a TN visa?
Yes, but you need a new TN authorization before starting with the new employer. Your existing TN status is employer-specific. Canadian citizens can apply at a port of entry with a new offer letter. Mexican nationals will need a new consular appointment. Plan your transition timeline carefully, as there is no automatic grace period between employers the way some other visa categories allow.
What documents does my employer need to provide for my TN application?
Your employer must provide a signed offer letter that specifies your job title, a description of AI ML duties, the qualifying degree field required, your start date, and the duration of employment (up to three years). Some employers also include an organizational chart or role description memo. The offer letter is the central document CBP or a consulate officer will evaluate, so precision matters more than length.