TN Visa ML Engineer Jobs
ML Engineer roles qualify for TN visa sponsorship under USMCA's Computer Systems Analyst category when the position requires applying machine learning methods to analyze and solve systems problems. Canadian citizens can enter at the port of entry without a cap. Mexican citizens go through U.S. consular processing with a limited annual allocation.
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Get Access To All JobsINTRODUCTION
Bloomberg’s Engineering Artificial Intelligence department has 400+ AI practitioners building highly sought after products and features that shape global markets. In our fast-paced Fixed Income domain, you’ll apply mathematics, statistics, machine learning and modern programming frameworks over vast data sources to accurately price millions of securities. You will research methods to offer transparency and accuracy within Fixed Income markets, and you will move Bloomberg’s business forward by assessing, improving, and implementing modern asset pricing models.
We are looking for people who are naturally curious, take ownership, are relentless problem solvers, and have the desire to continuously innovate, learn, and grow within the field of Fixed Income and Credit pricing.
ROLE AND RESPONSIBILITIES
You'll have the opportunity to:
- Conduct research and analysis to solve complex technical challenges in financial asset pricing within a highly collaborative environment.
- Conceptualize pricing methodologies, develop and continuously improve mathematical and data-driven models, all while translating algorithms into code.
- Increase your competency of technical skills as you work on models as research projects, from idea to productionization.
- Integrate cutting-edge academic and industry research into models and methodologies, staying ahead of emerging developments to drive continuous innovation.
- Collaborate with cross-functional teams to develop, test, monitor and maintain robust production systems.
BASIC QUALIFICATIONS
You'll need to have:
- Ph.D. in the fields of Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, Machine Learning or a similar field from a top tier institution.
- 3+ years of proven experience on Fixed Income valuation within the buy or sell side. A track record designing, building, evaluating, and maintaining statistical and/or Machine Learning solutions in production is a plus.
- Experience working with, analyzing and extracting patterns and insights from medium size and large datasets is a must.
- Proficiency in probability and statistics to support time modeling of financial processes, advanced machine learning, pattern recognition, etc.
- Strong practical computing skills to support the delivery of statistical and ML models. Experience with object oriented languages is a plus.
- A creative, rigorous approach to developing and testing novel methods and technologies.
- A track record of authoring publications in top conferences and journals is a strong plus.
PREFERRED QUALIFICATIONS
We offer you:
- A flat structure and very collaborative environment of like-minded individuals with strong passion for solving technically challenging problems in an open communication environment.
- State of the art tech stack to support your day-to-day activities.
- Tangible growth in skills and impact through the cross-collaboration between AI, Product and technology teams in an open and transparent manner.
- The ability to work in financial asset pricing in a supportive environment with work-life balance and a casual office environment.
COMPENSATION
- Salary Range: 165,000 - 260,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.
ACCOMMODATIONS
Bloomberg provides reasonable adjustment/accommodation to individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format or using specialized equipment. To request an adjustment/accommodation to apply for a job, please email AMER_recruit@bloomberg.net (Americas), EMEA_recruit@bloomberg.net (Europe, the Middle East and Africa), or APAC_recruit@bloomberg.net (Asia-Pacific), based on the region you are submitting an application for. We may share your information with a third party provider of accommodations services who may use this information to reach out to you for the purposes of accommodating your application.
EQUAL OPPORTUNITY
Bloomberg is an equal opportunity employer and prohibits discrimination in employment. It is Bloomberg’s policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, self-identified or perceived sex, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy, childbirth or related medical conditions, or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (each, a “Protected Characteristic”). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics.
INTRODUCTION
Bloomberg’s Engineering Artificial Intelligence department has 400+ AI practitioners building highly sought after products and features that shape global markets. In our fast-paced Fixed Income domain, you’ll apply mathematics, statistics, machine learning and modern programming frameworks over vast data sources to accurately price millions of securities. You will research methods to offer transparency and accuracy within Fixed Income markets, and you will move Bloomberg’s business forward by assessing, improving, and implementing modern asset pricing models.
We are looking for people who are naturally curious, take ownership, are relentless problem solvers, and have the desire to continuously innovate, learn, and grow within the field of Fixed Income and Credit pricing.
ROLE AND RESPONSIBILITIES
You'll have the opportunity to:
- Conduct research and analysis to solve complex technical challenges in financial asset pricing within a highly collaborative environment.
- Conceptualize pricing methodologies, develop and continuously improve mathematical and data-driven models, all while translating algorithms into code.
- Increase your competency of technical skills as you work on models as research projects, from idea to productionization.
- Integrate cutting-edge academic and industry research into models and methodologies, staying ahead of emerging developments to drive continuous innovation.
- Collaborate with cross-functional teams to develop, test, monitor and maintain robust production systems.
BASIC QUALIFICATIONS
You'll need to have:
- Ph.D. in the fields of Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, Machine Learning or a similar field from a top tier institution.
- 3+ years of proven experience on Fixed Income valuation within the buy or sell side. A track record designing, building, evaluating, and maintaining statistical and/or Machine Learning solutions in production is a plus.
- Experience working with, analyzing and extracting patterns and insights from medium size and large datasets is a must.
- Proficiency in probability and statistics to support time modeling of financial processes, advanced machine learning, pattern recognition, etc.
- Strong practical computing skills to support the delivery of statistical and ML models. Experience with object oriented languages is a plus.
- A creative, rigorous approach to developing and testing novel methods and technologies.
- A track record of authoring publications in top conferences and journals is a strong plus.
PREFERRED QUALIFICATIONS
We offer you:
- A flat structure and very collaborative environment of like-minded individuals with strong passion for solving technically challenging problems in an open communication environment.
- State of the art tech stack to support your day-to-day activities.
- Tangible growth in skills and impact through the cross-collaboration between AI, Product and technology teams in an open and transparent manner.
- The ability to work in financial asset pricing in a supportive environment with work-life balance and a casual office environment.
COMPENSATION
- Salary Range: 165,000 - 260,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.
ACCOMMODATIONS
Bloomberg provides reasonable adjustment/accommodation to individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format or using specialized equipment. To request an adjustment/accommodation to apply for a job, please email AMER_recruit@bloomberg.net (Americas), EMEA_recruit@bloomberg.net (Europe, the Middle East and Africa), or APAC_recruit@bloomberg.net (Asia-Pacific), based on the region you are submitting an application for. We may share your information with a third party provider of accommodations services who may use this information to reach out to you for the purposes of accommodating your application.
EQUAL OPPORTUNITY
Bloomberg is an equal opportunity employer and prohibits discrimination in employment. It is Bloomberg’s policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, self-identified or perceived sex, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy, childbirth or related medical conditions, or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (each, a “Protected Characteristic”). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics.
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Get Access To All JobsTips for Finding TN Visa Sponsorship as a ML Engineer
Align your credentials to Computer Systems Analyst
TN visa approval for ML Engineer roles hinges on classification under Computer Systems Analyst. Your degree in computer science, mathematics, or a related field must map directly to that category. A mismatch in classification is the most common denial trigger for ML candidates.
Target employers with documented ML infrastructure
Seek out companies running production ML systems, not just data science experiments. Employers who already deploy model pipelines are more likely to frame your role in systems terms, which strengthens the specialty occupation argument CBP or a consular officer will scrutinize.
Request a detailed support letter from your employer
Your employer's support letter must describe your specific duties in systems analysis terms, not just 'train models' or 'build algorithms.' Push for language that connects ML engineering tasks to systems design, deployment architecture, and technical problem-solving for the organization.
Prepare for Canadians entering at the port of entry
Canadian citizens apply directly at a land border or airport port of entry without scheduling a consular appointment. Bring your job offer letter, credential documents, and employer support letter. CBP officers adjudicate on the spot, so a disorganized packet can cause delays or denial.
Search for sponsoring employers through Migrate Mate
Filtering job openings by TN visa compatibility saves time you'd otherwise spend cold-contacting employers who won't sponsor. Migrate Mate surfaces ML Engineer roles from employers already open to TN candidates, so you spend less effort on outreach that goes nowhere.
Verify the role qualifies before accepting an offer
Not every ML Engineer job title maps cleanly to a TN-eligible occupation. Before signing, confirm with the employer that the position's core duties center on computer systems analysis. Roles focused primarily on research or data labeling carry a higher risk of CBP pushback at entry.
ML Engineer TN Visa: Frequently Asked Questions
Does ML Engineer qualify as a TN visa occupation?
ML Engineer isn't a listed TN occupation by title, but the role typically qualifies under the Computer Systems Analyst category. The job duties must center on analyzing, designing, and implementing computer systems solutions using machine learning methods. If the role is primarily research-oriented or lacks a clear systems component, a CBP officer may decline to classify it as TN-eligible.
How does TN compare to H-1B for ML Engineer roles?
TN has no annual lottery and no cap for Canadian citizens, so you can start working as soon as your application is approved, often the same day at the port of entry. H-1B visa requires winning a lottery with roughly a 25% selection rate and waiting until October 1 to begin work. For Mexican citizens, TN has a limited annual allocation, but consular processing is still faster than H-1B timelines.
Where can I find ML Engineer jobs that offer TN visa sponsorship?
Migrate Mate is built specifically for Canadian and Mexican professionals seeking TN-eligible roles. You can search ML Engineer positions filtered by TN visa compatibility, which removes the guesswork of figuring out which employers will support a TN filing. Most general job boards don't filter by visa type, so you end up spending time on applications that go nowhere for immigration reasons.
Can a Canadian ML Engineer apply for TN at the border without an attorney?
Yes. Canadian citizens don't need to file a petition with USCIS in advance. You present your application package directly to a CBP officer at a port of entry. That package must include a formal job offer letter, your employer's support letter describing the systems analyst duties, and evidence of your qualifying degree. Incomplete or poorly framed documentation is the main reason for same-day denials.
What happens to my TN status if my ML Engineer role shifts toward pure research?
TN status under Computer Systems Analyst is tied to the duties your employer described when you entered. If your role evolves significantly, such as moving from systems deployment to academic-style research, you may no longer meet the classification criteria. Your employer should issue an amended support letter and you should discuss whether a new TN entry or an alternative visa category is appropriate before your next renewal or travel.