TN Visa Machine Learning Scientist Jobs
Machine Learning Scientist roles qualify for TN visa sponsorship under the USMCA's Computer Systems Analyst category when the position requires a bachelor's degree or higher in computer science, mathematics, or a related field. Canadian citizens can apply at the border or a U.S. consulate without a cap; Mexican citizens are subject to a 5,500 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.
See all TN Visa Machine Learning Scientist Jobs
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Get Access To All JobsTips for Finding TN Visa Sponsorship as a Machine Learning Scientist
Frame your credentials around specialty occupation
TN visa approval for ML Scientist roles hinges on demonstrating that your degree directly relates to the job. A mathematics or statistics degree supporting a deep learning role is a stronger credential match than a general computer science degree for an ambiguous 'AI researcher' title.
Target employers with recent visa filing experience
Employers with recent visa filings for ML or data science roles have demonstrated experience with work visa sponsorship. Identify companies with a track record of visa sponsorship by reviewing their recent filings—this signals they understand the sponsorship process and may be open to supporting TN candidates with the right qualifications.
Request a support letter that specifies ML tasks
Your employer's TN support letter must describe duties that map to a recognized USMCA profession. Ask HR to list specific responsibilities like model training, algorithm development, or statistical inference rather than vague phrases like 'working on AI projects.'
Use Migrate Mate to find TN-ready ML employers
Searching broadly wastes time on employers unfamiliar with TN sponsorship. Migrate Mate filters Machine Learning Scientist roles by TN visa compatibility, so you're reaching out to companies already equipped to move quickly on an offer.
Prepare for CBP scrutiny on job title alignment
Canadian citizens processed at the port of entry face a CBP officer who evaluates your title against the USMCA profession list on the spot. If your offer letter says 'ML Engineer' instead of 'Computer Systems Analyst,' bring documentation clarifying the role's analytical and systems focus.
Negotiate a start date that accounts for Mexican TN timelines
Mexican nationals must schedule a consular interview, which can take several weeks depending on the nearest U.S. consulate's availability. Build at least six to eight weeks between your signed offer and your proposed start date to avoid a gap between offer acceptance and authorized work.
Machine Learning Scientist TN Visa: Frequently Asked Questions
Does a Machine Learning Scientist role qualify for TN visa status?
Yes, provided the position requires a bachelor's degree or higher in a qualifying field such as computer science, mathematics, statistics, or engineering, and the duties center on analytical or systems work. CBP typically classifies ML Scientist roles under the Computer Systems Analyst profession on the USMCA occupation list. Job titles that blur into software engineering or product management can create issues, so the offer letter's duty description carries significant weight.
How does TN visa sponsorship compare to H-1B for Machine Learning Scientists?
TN has no annual lottery and no cap for Canadian citizens, so you can secure status any time of year without waiting for an April registration window. H-1B visa selection is random and limited to 85,000 slots annually, meaning qualified candidates are routinely left out. For Mexican nationals, the TN allocation is 5,500 per year, which is far smaller but still processes without a lottery. TN also renews indefinitely in three-year increments as long as you maintain qualifying employment.
What documents does my employer need to provide for my TN application?
Your employer must supply a signed support letter on company letterhead that states your job title, a description of duties tied to a recognized USMCA profession, your intended start date, and confirmation that the position requires a qualifying degree. You provide proof of citizenship and your academic credentials. For Canadian citizens applying at a port of entry, these documents go directly to CBP. Mexican nationals submit them as part of the consular visa packet.
Where can I find Machine Learning Scientist jobs that already support TN visa sponsorship?
Migrate Mate is built specifically for Canadian and Mexican professionals seeking TN-compatible roles in the U.S. It filters job listings by visa sponsorship type, so you're not sifting through postings from companies unfamiliar with TN status. Starting your search there reduces back-and-forth with employers who aren't prepared to issue a compliant support letter or move quickly through the filing process.
Can I switch employers while on TN status as an ML Scientist?
Yes, but you cannot begin work for the new employer before your new TN is approved. Canadian citizens can apply for a new TN at a port of entry or by filing a change of status petition with USCIS. There is no grace period that permits you to work during the transition, so timing your resignation and your new TN approval carefully is essential. Mexican nationals need a new visa stamp from a U.S. consulate before starting with the new employer.