TN Visa Senior ML Engineer Jobs
Senior ML Engineer roles qualify for TN visa sponsorship under the USMCA's engineer and scientist categories. Canadian citizens can apply at the border with an offer letter; Mexicans require consular processing. Your degree must align directly with the ML engineering responsibilities in your job offer.
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Get Access To All JobsINTRODUCTION
The Care Health and Reasoning Machines (CHARM) lab led by Dr. Jeremy C. Weiss at the National Library of Medicine seeks to hire a postdoctoral fellow at the intersection(s) of the following research areas: longitudinal machine learning, multi-modal analysis, clinical informatics, and population health.
About the position
The National Library of Medicine (NLM) is one of the 27 institutes at the National Institutes of Health (NIH). NLM is the world’s largest biomedical library and a leader in research, development, and training in biomedical informatics and health information technology. The Division of Intramural Research (DIR) within NLM has two primary research areas: computational health research and computational biology.
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In computational health research, our efforts center on natural language processing (NLP), clinical image analysis, biomedical ontologies, information modeling, and clinical data analytics.
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In computational biology, we emphasize transcriptional regulation, chromatin and network biology, structural and functional analysis, sequence statistics, and evolutionary genomics.
The CHARM lab is investigating methods that learn from longitudinal, textual and tabular data present in health data that (1) are predictive forecasters, and (2) preserve interrogable properties. The research will address the trustworthiness of electronic health records and complementary biomedical data for clinical decision making. Relevant experience includes expertise in representation learning, longitudinal data, annotation, curation, large-language models, and multi-modal learning, with applications in health domains. Relevant programming experience includes pytorch/huggingface/sklearn and R/tidyverse.
Recent relevant publications:
- Wang J, Weiss JC. A Large-Language Model Framework for Relative Timeline Extraction from PubMed Case Reports. American Medical Informatics Association Informatics Summit. Pittsburgh, 2025.
- Frattallone-Llado G, Kim J, Cheng C, Salazar D, Edakalavan S, Weiss JC. Using Multimodal Data to Improve Precision of Inpatient Event Timelines. In Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2024.
- Noroozizadeh S, Weiss JC, and George Chen. “Temporal Supervised Contrastive Learning for Modeling Patient Risk Progression.” Machine Learning for Health. PMLR. 2023.
Position Overview: This is a full-time postdoctoral fellow position. The initial appointment will be for one year, and is renewable on a yearly basis, with extensions up to 5 years total. The NIH offers a competitive stipend (based on postdoctoral experience, see stipend tables) and a stipend supplement for comprehensive health insurance. The NIH is dedicated to the continued education and career development of all its research staff. Candidates are subject to a background investigation. Explore additional information about NIH postdoctoral fellowships.
What you'll need to apply
Applicants should submit the following materials to Jeremy Weiss, MD, PhD at jeremy.weiss@nih.gov:
- Updated CV
- Cover letter with a short research statement and preferred starting date
- Link(s) to published artifacts (packages, github repositories, etc), and
- Contact information for 3 references (please include the full name with titles, institute, email address and phone number of each reference)
Prospective candidates should include "Postdoc Position Inquiry" and their last name in the email subject line.
Application Deadline: Applications will be accepted and reviewed on a rolling basis until the position is filled.
Contact name: Dr. Jeremy Weiss
Contact email: jeremy.weiss@nih.gov
QUALIFICATIONS
- PhD and/or MD, or equivalent in related subject areas, including machine learning, computer science, medicine, bioinformatics, biomedical informatics and statistics/biostatistics
- Clinical Machine Learning: Programming experience in python, pytorch; R, Julia, and/or C++
- Publishing experience with peer-reviewed journals or conferences in the above areas
INTRODUCTION
The Care Health and Reasoning Machines (CHARM) lab led by Dr. Jeremy C. Weiss at the National Library of Medicine seeks to hire a postdoctoral fellow at the intersection(s) of the following research areas: longitudinal machine learning, multi-modal analysis, clinical informatics, and population health.
About the position
The National Library of Medicine (NLM) is one of the 27 institutes at the National Institutes of Health (NIH). NLM is the world’s largest biomedical library and a leader in research, development, and training in biomedical informatics and health information technology. The Division of Intramural Research (DIR) within NLM has two primary research areas: computational health research and computational biology.
-
In computational health research, our efforts center on natural language processing (NLP), clinical image analysis, biomedical ontologies, information modeling, and clinical data analytics.
-
In computational biology, we emphasize transcriptional regulation, chromatin and network biology, structural and functional analysis, sequence statistics, and evolutionary genomics.
The CHARM lab is investigating methods that learn from longitudinal, textual and tabular data present in health data that (1) are predictive forecasters, and (2) preserve interrogable properties. The research will address the trustworthiness of electronic health records and complementary biomedical data for clinical decision making. Relevant experience includes expertise in representation learning, longitudinal data, annotation, curation, large-language models, and multi-modal learning, with applications in health domains. Relevant programming experience includes pytorch/huggingface/sklearn and R/tidyverse.
Recent relevant publications:
- Wang J, Weiss JC. A Large-Language Model Framework for Relative Timeline Extraction from PubMed Case Reports. American Medical Informatics Association Informatics Summit. Pittsburgh, 2025.
- Frattallone-Llado G, Kim J, Cheng C, Salazar D, Edakalavan S, Weiss JC. Using Multimodal Data to Improve Precision of Inpatient Event Timelines. In Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2024.
- Noroozizadeh S, Weiss JC, and George Chen. “Temporal Supervised Contrastive Learning for Modeling Patient Risk Progression.” Machine Learning for Health. PMLR. 2023.
Position Overview: This is a full-time postdoctoral fellow position. The initial appointment will be for one year, and is renewable on a yearly basis, with extensions up to 5 years total. The NIH offers a competitive stipend (based on postdoctoral experience, see stipend tables) and a stipend supplement for comprehensive health insurance. The NIH is dedicated to the continued education and career development of all its research staff. Candidates are subject to a background investigation. Explore additional information about NIH postdoctoral fellowships.
What you'll need to apply
Applicants should submit the following materials to Jeremy Weiss, MD, PhD at jeremy.weiss@nih.gov:
- Updated CV
- Cover letter with a short research statement and preferred starting date
- Link(s) to published artifacts (packages, github repositories, etc), and
- Contact information for 3 references (please include the full name with titles, institute, email address and phone number of each reference)
Prospective candidates should include "Postdoc Position Inquiry" and their last name in the email subject line.
Application Deadline: Applications will be accepted and reviewed on a rolling basis until the position is filled.
Contact name: Dr. Jeremy Weiss
Contact email: jeremy.weiss@nih.gov
QUALIFICATIONS
- PhD and/or MD, or equivalent in related subject areas, including machine learning, computer science, medicine, bioinformatics, biomedical informatics and statistics/biostatistics
- Clinical Machine Learning: Programming experience in python, pytorch; R, Julia, and/or C++
- Publishing experience with peer-reviewed journals or conferences in the above areas
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Get Access To All JobsTips for Finding TN Visa Sponsorship as a Senior ML Engineer
Align your degree title precisely
TN visa officers assess whether your credential matches the role description, not just the field. A degree in Computer Science or Electrical Engineering maps cleanly to ML Engineering. A degree in Mathematics or Statistics needs a stronger job description connecting it to engineering functions.
Request an ML-specific offer letter
Your offer letter is your filing document. Ask your employer to specify ML frameworks, model deployment responsibilities, and the engineering nature of the work. Generic 'software engineering' language can trigger scrutiny when the role is titled Senior ML Engineer.
Target employers with recent visa sponsorship experience
Companies that regularly file work visa petitions for engineering roles already demonstrate experience with visa sponsorship processes. Filtering for employers with recent visa filings in machine learning or software occupations means they're familiar with supporting skilled workers and can prepare the support letter needed for your TN visa application at the port of entry or consulate.
Use Migrate Mate to find TN-ready employers
Search Migrate Mate to surface Senior ML Engineer roles at companies that have sponsored TN visas before. Focusing your applications on employers with proven sponsorship history cuts the time you spend educating hiring teams about the process.
Prepare Canadian citizens for port-of-entry filing
As a Canadian, you can request TN status directly at a land border or airport without a prior visa appointment. Bring your degree transcripts, the certified offer letter, and a concise employer support letter explaining the specialty occupation classification.
Clarify the ML role's specialty occupation status early
ML engineering sits at the intersection of computer science and applied research. If a recruiter asks whether the role qualifies, explain that TN covers engineers and scientists, and that your responsibilities involving model architecture and deployment satisfy the specialty occupation requirement.
Senior ML Engineer TN Visa: Frequently Asked Questions
Does a Senior ML Engineer role qualify for TN visa status?
Yes. Senior ML Engineer roles qualify under the USMCA's engineer and scientist categories when the position requires a bachelor's degree or higher in a directly related field such as Computer Science, Electrical Engineering, or a closely aligned discipline. The job duties must reflect engineering functions, not general technical support or data analysis without a design or architecture component.
How does TN visa sponsorship compare to H-1B for Senior ML Engineers?
TN has no annual lottery and no cap for Canadian citizens, so you can start a Senior ML Engineer role within weeks of receiving an offer rather than waiting for a lottery result. Mexicans require consular processing but still avoid the H-1B lottery. The trade-off is that TN does not support dual intent, meaning it cannot serve as a direct path to a green card the way H-1B visa petitions can.
Where can I find Senior ML Engineer jobs with TN visa sponsorship?
Migrate Mate is built specifically for Canadian and Mexican professionals seeking U.S. roles with TN sponsorship. You can filter for Senior ML Engineer positions at employers with recent visa filings for similar roles, which signals they have experience with visa sponsorship and may be prepared to support TN candidates from day one.
What documents does my employer need to provide for my TN application?
Your employer must provide a signed offer letter on company letterhead that states your job title, a description of ML engineering duties, your required credentials, the duration of employment, and your compensation. For Canadian citizens applying at the border, this letter is the core filing document. USCIS Form I-129 is required only if your employer files a petition for change of status from inside the U.S.
Can I switch TN employers if I receive a better Senior ML Engineer offer?
Yes, but you need new TN authorization before starting with the new employer. Canadians can apply at the port of entry with the new offer letter. Mexicans must obtain a new TN visa at a U.S. consulate. You cannot simply transfer TN status the way an H-1B portability provision would allow, so plan your transition timeline to avoid a gap in authorized employment.