TN Visa Sr Staff Machine Learning Engineer Jobs
Sr Staff Machine Learning Engineer roles qualify for TN visa sponsorship under the USMCA's Computer Systems Analyst category, giving Canadian citizens a cap-free, lottery-free path to U.S. employment. Mexican nationals should confirm the annual TN allocation with their employer before filing. This senior-level role demands a degree in computer science, engineering, or a closely related field.
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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 Sr Staff Machine Learning Engineer Jobs
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Get Access To All JobsTips for Finding TN Visa Sponsorship as a Sr Staff Machine Learning Engineer
Align your credentials to the right TN category
TN visa sponsorship for ML engineering flows through the Computer Systems Analyst classification. Your degree must be in computer science, engineering, mathematics, or a directly related field. A management information systems degree requires extra documentation to close the gap.
Document your specialization in your offer letter
CBP officers assess TN eligibility at the border based almost entirely on your job offer letter. Ask your employer to describe your ML engineering duties specifically, referencing model development, infrastructure, and system design rather than generic software development language.
Target employers experienced with work visa sponsorship
Focus your search on companies with recent visa filings and experience sponsoring work visas. Large technology, fintech, and AI-native firms typically have in-house immigration counsel familiar with visa sponsorship processes, which reduces delays and documentation gaps when presenting your case at the U.S. port of entry or consulate.
Use Migrate Mate to find TN-sponsoring employers
Search Migrate Mate to identify employers actively hiring Sr Staff ML Engineers with TN visa sponsorship. The platform surfaces verified sponsoring companies so you spend time on roles with a real path forward, not listings that stall at the offer stage.
Prepare for CBP scrutiny at the Canadian border
Canadian citizens apply for TN status directly at a port of entry, skipping consular processing. Bring your degree transcripts, the certified job offer letter, and a brief one-page summary of your ML systems role. Officers unfamiliar with senior IC titles will rely on these documents.
Confirm Mexican TN allocation before accepting an offer
Mexico's annual TN allocation is capped, unlike Canada's. Before signing an offer, verify with your employer that the cap has not been reached for the fiscal year. USCIS processes Mexican TN petitions via Form I-129, so build in processing time before your start date.
Sr Staff Machine Learning Engineer TN Visa: Frequently Asked Questions
Does a Sr Staff Machine Learning Engineer role qualify for TN visa sponsorship?
Yes, provided the role is classified under the Computer Systems Analyst TN category and your degree is in computer science, engineering, mathematics, or a closely related field. The job offer letter must describe duties tied to ML system design and implementation. Generic software titles without that specificity can be challenged at the port of entry.
How does TN visa sponsorship compare to H-1B for this role?
TN has no lottery, no annual cap for Canadians, and no I-129 petition wait for Canadians entering at a port of entry. H-1B visa requires surviving a randomized lottery before your employer can even file. For Sr Staff ML Engineers who qualify by nationality and degree, TN offers a faster, more predictable path to starting work in the U.S.
Where can I find employers offering TN visa sponsorship for ML engineering roles?
Migrate Mate is built specifically for this search. You can filter for Sr Staff Machine Learning Engineer roles at employers with recent visa filings, which removes the guesswork of cold-applying to companies that may not be experienced with visa sponsorship. General job boards don't surface sponsorship details reliably enough for TN-specific searches.
Can I switch employers while on TN status as a Sr Staff ML Engineer?
Yes, but your TN status is tied to your current employer. Canadians entering at the border will need a new job offer letter and must go through CBP again when changing employers. Mexican nationals require a new I-129 filing through USCIS. Your TN status doesn't automatically transfer, so coordinate your start date carefully to avoid gaps.
What happens if CBP denies my TN application at the border?
CBP can deny a TN application if the officer determines the role doesn't fit an approved USMCA category or your credentials don't clearly support the classification. You can reapply at the same or a different port of entry once you've corrected the documentation. Consult an immigration attorney to strengthen your offer letter and credential package before your next attempt.