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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INTRODUCTION
Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.
Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform.
Optum AI team members:
- Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone.
- Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development.
- Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities.
You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
PRIMARY RESPONSIBILITIES:
- Apply advanced statistical, predictive modeling, and Agentic AI to optimize healthcare and digital experiences.
- Collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with company policies and standards.
- Research innovative approaches for developing and evaluating Agentic AI solutions, and apply these findings to the solutions you are creating.
- Develop code and model documentation, patents and publications in scientific conferences and journals.
- Collaborate with engineering teams to develop robust data pipelines of MLOps procedures for new solutions.
- Stay up to date with latest technologies and literature.
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
REQUIRED QUALIFICATIONS:
- PhD in Statistics, Mathematics, Computer Science or related field.
- 3+ years of AI/ML experience (LLM, NLP).
- Experience with LLM frameworks and/or NLP approaches such as text embedding and text classification.
- Proficiency in AI/ML engineering development with Python.
- Expertise in Large Language Modeling and Transformer Architectures with experience in prompt engineering, evaluation, and LLM optimization.
PREFERRED QUALIFICATIONS:
- Experience with AI Cloud services like Azure ML, Databricks, Azure OpenAI, or similar services in GCP / AWS.
- Experience with Snowflake and other relational databases.
- Proven solid publication record in top tier AI/ML/NLP venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CHIL, etc.).
- Proven solid technical communication skills.
All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
APPLICATION DEADLINE: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

INTRODUCTION
Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.
Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform.
Optum AI team members:
- Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone.
- Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development.
- Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities.
You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
PRIMARY RESPONSIBILITIES:
- Apply advanced statistical, predictive modeling, and Agentic AI to optimize healthcare and digital experiences.
- Collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with company policies and standards.
- Research innovative approaches for developing and evaluating Agentic AI solutions, and apply these findings to the solutions you are creating.
- Develop code and model documentation, patents and publications in scientific conferences and journals.
- Collaborate with engineering teams to develop robust data pipelines of MLOps procedures for new solutions.
- Stay up to date with latest technologies and literature.
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
REQUIRED QUALIFICATIONS:
- PhD in Statistics, Mathematics, Computer Science or related field.
- 3+ years of AI/ML experience (LLM, NLP).
- Experience with LLM frameworks and/or NLP approaches such as text embedding and text classification.
- Proficiency in AI/ML engineering development with Python.
- Expertise in Large Language Modeling and Transformer Architectures with experience in prompt engineering, evaluation, and LLM optimization.
PREFERRED QUALIFICATIONS:
- Experience with AI Cloud services like Azure ML, Databricks, Azure OpenAI, or similar services in GCP / AWS.
- Experience with Snowflake and other relational databases.
- Proven solid publication record in top tier AI/ML/NLP venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CHIL, etc.).
- Proven solid technical communication skills.
All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
APPLICATION DEADLINE: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
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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 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 jobs are hiring across the US. Find yours.
Find Machine Learning Scientist JobsMachine 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 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.
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