TN Visa Machine Learning Jobs
Machine Learning roles qualify for TN visa sponsorship under the Engineer or Computer Systems Analyst categories, depending on how the position is structured. Canadian citizens can secure TN status at the border with no cap or lottery. Mexican citizens require a consular appointment. A qualifying bachelor's degree in a technical field is required.
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Get Access To All JobsINTRODUCTION
Brandeis University's Graduate Professional Studies (GPS) is looking for an industry leader to teach in our Master of Science in Applied Biotechnology & Enterprise program. Brandeis University is consistently ranked among the nation's top universities, and our online courses are developed using best practices in online learning. Information about Brandeis University and Graduate Professional Studies can be found online.
Course Title: Artificial Intelligence & Machine Learning in Drug Development
This course explores the use of AI and ML in pharmaceutical R&D. Topics include data preprocessing, predictive modeling, and applications in target identification, drug screening, and clinical trial optimization. Students gain hands-on experience using tools and algorithms to analyze real-world biotech data sets.
QUALIFICATIONS
Qualified candidates will have Subject Matter Qualifications in the following areas.
Required:
- Current active employment in the relevant biotech or pharmaceutical industry
- Deep knowledge of course-specific applications and industry practices
- Ph.D. or M.S.
- Strong communication and analytical skills
Preferred:
- Previous teaching experience or experience delivering professional training
- Familiarity with online instructional tools and platforms
GENERAL RESPONSIBILITIES
- Design a syllabus following program chair guidance and the syllabus template
- Create content aligned with course outcomes, integrating personal expertise
- Facilitate online discussions and provide timely, relevant feedback
- Maintain the course site and update content in the Moodle LMS
- Lead students in AI model development and interpretation using biotech case studies
- Help students critically assess the limitations and ethics of AI in pharmaceutical innovation
GENERAL SKILL REQUIREMENTS
- Strong interpersonal skills and the ability to foster student engagement
- Written communication skills, especially for online learning
- Ability to manage time effectively and respond promptly to students
- Proficiency in applying machine learning tools (e.g., Python, scikit-learn, TensorFlow) to drug discovery datasets
ABOUT THE MASTER OF SCIENCE IN APPLIED BIOTECHNOLOGY & ENTERPRISE
This program prepares students to innovate and lead in the fast-paced biotech industry, integrating scientific knowledge with business strategy. Students learn through project-based, real-world applications.
All GPS courses are 8-weeks long and taught asynchronously online.
ABOUT GPS FACULTY
GPS Faculty are active industry professionals who teach part-time, online. Our instructors hold at least a master's degree, and many have terminal degrees and professional certifications. Previous teaching experience is not required; GPS provides full training.
APPLICATION PROCESS: Interested candidates should submit:
- A cover letter highlighting relevant qualifications and teaching experience.
- A current CV or resume.
- Contact information for three professional references.
- (Optional) Examples of teaching materials or professional publications related to leadership and industry innovation.
This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.
The compensation for this position is $6573.15.
PAY RANGE DISCLOSURE
The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.
EQUAL OPPORTUNITY STATEMENT
Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").
INTRODUCTION
Brandeis University's Graduate Professional Studies (GPS) is looking for an industry leader to teach in our Master of Science in Applied Biotechnology & Enterprise program. Brandeis University is consistently ranked among the nation's top universities, and our online courses are developed using best practices in online learning. Information about Brandeis University and Graduate Professional Studies can be found online.
Course Title: Artificial Intelligence & Machine Learning in Drug Development
This course explores the use of AI and ML in pharmaceutical R&D. Topics include data preprocessing, predictive modeling, and applications in target identification, drug screening, and clinical trial optimization. Students gain hands-on experience using tools and algorithms to analyze real-world biotech data sets.
QUALIFICATIONS
Qualified candidates will have Subject Matter Qualifications in the following areas.
Required:
- Current active employment in the relevant biotech or pharmaceutical industry
- Deep knowledge of course-specific applications and industry practices
- Ph.D. or M.S.
- Strong communication and analytical skills
Preferred:
- Previous teaching experience or experience delivering professional training
- Familiarity with online instructional tools and platforms
GENERAL RESPONSIBILITIES
- Design a syllabus following program chair guidance and the syllabus template
- Create content aligned with course outcomes, integrating personal expertise
- Facilitate online discussions and provide timely, relevant feedback
- Maintain the course site and update content in the Moodle LMS
- Lead students in AI model development and interpretation using biotech case studies
- Help students critically assess the limitations and ethics of AI in pharmaceutical innovation
GENERAL SKILL REQUIREMENTS
- Strong interpersonal skills and the ability to foster student engagement
- Written communication skills, especially for online learning
- Ability to manage time effectively and respond promptly to students
- Proficiency in applying machine learning tools (e.g., Python, scikit-learn, TensorFlow) to drug discovery datasets
ABOUT THE MASTER OF SCIENCE IN APPLIED BIOTECHNOLOGY & ENTERPRISE
This program prepares students to innovate and lead in the fast-paced biotech industry, integrating scientific knowledge with business strategy. Students learn through project-based, real-world applications.
All GPS courses are 8-weeks long and taught asynchronously online.
ABOUT GPS FACULTY
GPS Faculty are active industry professionals who teach part-time, online. Our instructors hold at least a master's degree, and many have terminal degrees and professional certifications. Previous teaching experience is not required; GPS provides full training.
APPLICATION PROCESS: Interested candidates should submit:
- A cover letter highlighting relevant qualifications and teaching experience.
- A current CV or resume.
- Contact information for three professional references.
- (Optional) Examples of teaching materials or professional publications related to leadership and industry innovation.
This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.
The compensation for this position is $6573.15.
PAY RANGE DISCLOSURE
The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.
EQUAL OPPORTUNITY STATEMENT
Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").
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Get Access To All JobsTips for Finding TN Visa Sponsorship in Machine Learning
Match your degree to the TN category
TN visa approval for Machine Learning roles depends on whether your employer files under Engineer or Computer Systems Analyst. Your degree field must align with whichever category the job description supports. A mismatch is the most common denial trigger.
Request an offer letter that names TN
Your offer letter must explicitly state the TN category, your specific duties, and the employment period. Employers who routinely sponsor H-1B visa often need prompting to format a TN support letter correctly since the requirements differ significantly.
Target employers with active ML research teams
Companies running dedicated Machine Learning infrastructure are more likely to understand work visa sponsorship processes. Look for job postings from employers with recent visa filings, research publications, or roles requiring specialized technical degrees, which signal prior experience navigating work authorization requirements.
Prepare your credential documents before applying
Gather your degree transcripts, any credential evaluations, and a detailed job description before you start applications. Canadian citizens presenting at the port of entry need everything ready on the spot since CBSA reviews documentation immediately.
Use Migrate Mate to filter for TN-ready employers
Searching broadly wastes time on employers unfamiliar with TN visa mechanics. Migrate Mate lets you filter Machine Learning roles by companies that have sponsored TN or similar work visas, so you focus on employers who won't need education on the process.
Clarify the job title before the offer stage
Job titles in Machine Learning vary widely. 'AI Engineer,' 'Data Scientist,' and 'ML Researcher' can map to different TN categories. Confirm with your prospective employer which title will appear on the support letter before any filing or border appointment.
Machine Learning TN Visa: Frequently Asked Questions
Does a Machine Learning job qualify for a TN visa?
Machine Learning roles can qualify under the Engineer or Computer Systems Analyst TN category, depending on how the job duties are framed and your degree field. The role must require at least a bachelor's degree in a directly related technical discipline. A generic 'technology' degree without clear alignment to the job description can cause problems at the border or consulate.
How does TN compare to H-1B for Machine Learning professionals?
TN is often faster and more predictable for Machine Learning roles than H-1B. Canadians can get TN status at the port of entry in a single day, with no lottery and no cap. H-1B requires an annual lottery with roughly a 25 percent selection rate and a six-month wait. Mexican nationals face a TN cap of 5,500 per year, so H-1B may be worth pursuing as a parallel path if you anticipate long-term U.S. employment.
Can a Canadian Machine Learning professional get TN status without a job offer already in hand?
No. TN status requires a concrete job offer from a specific U.S. employer before you can apply. You cannot get TN status speculatively or as a job-search visa. The offer letter must describe your duties, confirm the TN category, and state the employment period. Only after that letter exists can a Canadian present at the border or a Mexican schedule a consular appointment.
Where can I find Machine Learning jobs where the employer is already familiar with TN sponsorship?
Migrate Mate is built specifically for this search. It surfaces Machine Learning roles at companies with documented work visa sponsorship history, so you avoid spending time on employers who will decline or delay because they don't understand TN mechanics. Searching with that filter significantly shortens the time between application and offer.
What happens if my TN visa is denied at the border for a Machine Learning role?
If CBSA or CBP denies your TN application, you can reapply at a different port of entry or consulate once you've addressed the reason for denial, which is typically a documentation gap or a degree-to-job mismatch. There is no mandatory waiting period for reapplication. You should revise your support letter and, if the category was the issue, confirm with your employer that the job description supports the intended TN classification before reapplying.