TN Visa ML Software Engineer Jobs
ML Software Engineer roles qualify for TN visa sponsorship under the USMCA's Computer Systems Analyst category, covering positions in machine learning infrastructure, model development, and AI research. Canadian citizens can apply at the border with no cap or lottery. Mexican citizens enter through consular processing with an 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 a ML Software Engineer
Frame your credentials around systems analysis
TN visa classification for ML engineers falls under Computer Systems Analyst, not a standalone ML category. Your resume and degree documentation should emphasize systems design, algorithm development, and data pipeline architecture to match USCIS occupational requirements for the TN visa category.
Verify your degree field aligns with the role
CBP officers assess whether your degree in computer science, mathematics, or engineering directly supports the ML Software Engineer title. A degree in an unrelated field, even with strong experience, creates classification risk that a well-drafted support letter from your employer can help address.
Target employers with established TN filing workflows
Large tech companies and AI-focused research labs have immigration teams familiar with TN petitions. Ask during screening whether the company handles TN directly or outsources to outside counsel, since inexperienced HR teams often confuse TN with H-1B visa sponsorship processes.
Search for verified sponsoring employers on Migrate Mate
Use Migrate Mate to filter ML Software Engineer roles by employers with recent visa filings, signaling experience with work visa sponsorship. This cuts the time spent cold-applying to companies unfamiliar with visa processes or who may decline Canadian and Mexican applicants at the offer stage.
Get your offer letter TN-ready before the border
Canadian applicants entering at a port of entry need an offer letter that specifies job title, duties, salary, and employer details. A letter written for HR onboarding purposes often omits the specificity CBP requires, which triggers secondary inspection or outright denial.
Understand the Mexican TN consular timeline upfront
Mexican citizens apply through a U.S. consulate rather than at the border, and appointment availability varies significantly by location. Build at least six to eight weeks into your start date negotiation so appointment delays don't void your offer.
ML Software Engineer TN Visa: Frequently Asked Questions
Does an ML Software Engineer role qualify for TN visa status?
Yes, ML Software Engineer positions qualify under the Computer Systems Analyst category in the USMCA TN occupation list. Your job duties must center on analyzing, designing, and developing systems or models rather than purely manual coding tasks. Roles involving machine learning research, model training pipelines, and AI infrastructure consistently meet this standard when the offer letter is written accurately.
How does the TN visa compare to H-1B for ML Software Engineers?
The TN visa has no annual lottery and no cap for Canadian citizens, meaning you can secure status at a port of entry the same day your offer is accepted. H-1B requires entering a lottery with roughly a one-in-four selection rate and waiting up to a year before starting work. For ML engineers who are Canadian or Mexican citizens, TN is typically faster and more predictable than competing in the H-1B cap.
Can I switch ML Software Engineer employers on a TN visa?
Yes, but TN status is employer-specific. You cannot start working for a new employer until that employer issues a qualifying offer letter and you obtain new TN authorization, either at the border for Canadians or through a new consular appointment for Mexican nationals. There is no grace period for continued employment with the new employer while the prior TN remains valid.
Where can I find ML Software Engineer jobs that sponsor TN visas?
Migrate Mate is designed specifically for Canadian and Mexican professionals looking for TN-sponsoring roles. You can search ML Software Engineer positions filtered by employers who have established TN visa workflows, avoiding companies that advertise sponsorship but only process H-1B or that exclude TN applicants at the offer stage.
What documents does a Canadian ML engineer need to cross the border on TN?
You need a valid Canadian passport, a detailed employer offer letter specifying your title as a role within the Computer Systems Analyst category, your duties, and your compensation, along with proof of your qualifying degree. Transcripts or a credential evaluation are not always required but should be carried if your degree title does not obviously match computer science or a related engineering field.