TN Visa AI ML Platform Jobs
AI ML Platform roles qualify for TN visa sponsorship under the Engineer or Computer Systems Analyst category, depending on how your employer structures the position. Canadian citizens can apply at the border with no cap concerns. Mexican nationals follow a consular process. A bachelor's degree in computer science, engineering, or a related field is required.
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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 in AI ML Platform
Confirm your degree maps to the role
TN visa approval depends on a clear match between your degree field and the AI ML Platform job duties. A computer science or electrical engineering degree works cleanly. An unrelated bachelor's with ML coursework can create problems at the border or consulate.
Target employers with existing TN infrastructure
Companies that have sponsored TN visas before already know how to write the support letter and structure job duties correctly. Look for roles at mid-to-large tech firms in cloud infrastructure, MLOps, and AI platform engineering, where TN filings are routine.
Audit your job offer letter before accepting
The employer support letter must name the correct TN occupational category, describe duties that align with it, and state the position is temporary. Vague or overly broad job descriptions are a common reason CBP officers push back at Canadian ports of entry.
Use Migrate Mate to find sponsoring employers
Search Migrate Mate to identify AI ML Platform roles at employers that actively support TN visa sponsorship. It filters by visa type so you're not cold-applying to companies unfamiliar with the process.
Prepare for Computer Systems Analyst classification scrutiny
If your employer classifies the role under Computer Systems Analyst rather than Engineer, CBP may ask how your duties involve analyzing and designing systems rather than building models. Prepare a plain-language explanation of your day-to-day responsibilities that aligns with the TN occupation category your employer has listed in the support letter.
Plan your Mexican national consular appointment early
Unlike Canadians who can get TN status at the port of entry, Mexican nationals must schedule a consular interview. Appointment availability varies significantly by location. Starting the process before you have a final start date gives you room to handle scheduling delays without losing the offer.
AI ML Platform TN Visa: Frequently Asked Questions
Does an AI ML Platform role qualify for the TN visa?
Yes, most AI ML Platform positions qualify under either the Engineer or Computer Systems Analyst category, depending on how the role is defined and what degree you hold. Roles centered on designing and deploying ML infrastructure typically fit Engineer. Roles focused on systems analysis and integration often fit Computer Systems Analyst. Your employer's support letter needs to match the duties to the right category precisely.
How does TN compare to H-1B for AI ML Platform jobs?
TN has no annual lottery, no cap for Canadians, and no USCIS petition process, which means faster approvals and no chance of being left out by random selection. H-1B visa requires employer sponsorship through a USCIS filing and exposes you to lottery risk. For AI ML Platform roles where the specialty occupation and degree requirements overlap cleanly with TN categories, TN is a more predictable path.
Can I switch employers while working on a TN visa in an AI ML Platform role?
Yes, but TN status is employer-specific. When you change jobs, your new employer must provide a fresh support letter and you'll need to obtain a new TN, either at a Canadian port of entry or through a USCIS change-of-status filing. You cannot simply carry your existing TN to a new company the way you can port an H-1B under certain conditions.
Where can I find AI ML Platform jobs that support TN visa sponsorship?
Migrate Mate is built specifically for this search. It surfaces AI ML Platform roles at employers that actively offer TN visa sponsorship, so you're targeting companies already set up to handle the support letter and filing process rather than educating employers from scratch. Filtering by TN visa type narrows your results to relevant opportunities from the start.
What documents do I need as a Mexican national applying for a TN visa in an AI ML Platform role?
You'll need a valid passport, DS-160 confirmation, the USCIS MRV fee receipt, a consular appointment, your employer's TN support letter specifying the occupational category and position duration, and proof of your qualifying degree. If your degree is from a Mexican institution, having an official English translation and any credential evaluation ready reduces the chance of administrative processing delays.