TN Visa AI ML Intern Jobs
AI ML Intern roles qualify for TN visa sponsorship under the Computer Systems Analyst or Engineer categories when the position requires applying machine learning frameworks to real engineering problems. Canadian citizens can secure TN status at the border in a single day. Mexican nationals follow the consular process with a capped annual allocation.
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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 Intern
Frame your credentials around TN-eligible categories
AI ML Intern roles don't have a dedicated TN visa category. Your bachelor's degree in computer science, software engineering, or a quantitative field must map cleanly to Computer Systems Analyst or Engineer. Ensure your transcripts and diploma reflect that alignment before you apply.
Target employers with recent visa filings in ML roles
Search for companies with recent visa filings in machine learning or AI engineering roles. These employers have experience sponsoring work visas and are far less likely to treat sponsorship as an obstacle. When applying, look for organizations that have demonstrated commitment to hiring international talent—they'll already have the infrastructure and processes in place to support your TN visa application at the port of entry or consulate.
Get your TN support letter reviewed before the border
For Canadian citizens, CBP adjudicates TN petitions at the port of entry in one visit. A weak employer support letter describing your role as a 'research assistant' rather than a Computer Systems Analyst can result in same-day denial. Use Migrate Mate to prepare documentation that matches CBP's specialty occupation expectations.
Negotiate the offer letter before filing begins
Your offer letter is a TN document, not just an HR formality. It must specify your job title, duties, degree requirement, and duration. Request a draft before your start date is set so the employer can revise it without delaying your entry.
Understand how internship duration affects your TN window
TN status is granted for up to three years per entry. A 12-week internship doesn't automatically expire your TN, but converting to a full-time role requires a new TN filing reflecting updated duties. Clarify the conversion path with your employer during the offer stage, not after.
Ask whether the employer is E-Verify enrolled before accepting
Most large tech and defense employers are enrolled in E-Verify, which is required for any role involving federal contracts. Confirm enrollment status during the offer stage so there are no onboarding delays after your TN is approved.
AI ML Intern TN Visa: Frequently Asked Questions
Does an AI ML Intern role actually qualify for TN visa status?
It depends on how the role is scoped. There's no TN category called 'AI ML Intern,' but roles requiring a bachelor's degree in computer science, engineering, or a quantitative discipline can qualify under Computer Systems Analyst or Engineer. The key is that your job duties must reflect applied technical work, not general business support or administrative tasks.
How does TN visa compare to H-1B for AI ML Intern positions?
TN has no annual lottery, no cap for Canadians, and can be issued at the border the same day for citizens of Canada. H-1B visa registration runs once a year in March with a random selection process, meaning you could wait over a year for a valid start date. For an internship timeline, TN is almost always the faster and more predictable path for eligible nationals.
Where can I find AI ML Intern jobs that include TN visa sponsorship?
Most general job boards don't filter by visa sponsorship type, which means you'll spend time on roles where TN isn't an option. Migrate Mate is built specifically for TN visa job seekers and surfaces AI and engineering internship openings at employers with documented sponsorship history, so you can focus on companies already set up to support TN filings.
Can a Mexican national get TN status for an AI ML Intern role?
Yes, but the process differs from Canada. Mexican nationals apply through a U.S. consulate rather than at the border, and TN status for Mexico is subject to an annual cap under USMCA. The same specialty occupation rules apply: your degree must align with a qualifying TN category and your job duties must reflect that technical scope.
What happens to my TN status if my internship ends early or converts to a full-time role?
If your internship ends early, your TN status is technically tied to that employer and role. Starting a new full-time position requires a new TN filing with updated documentation reflecting your new title and duties. Canadians can file at the border for the new role. Mexican nationals need to return to a consulate. Plan this transition before your last day, not after.