TN Visa Machine Learning Research Jobs
Machine Learning Research roles qualify for TN visa sponsorship under the USMCA's Computer Systems Analyst and Mathematician categories, depending on how the position is defined. Canadian professionals enter without a cap or lottery. Mexican nationals apply through a U.S. consulate. A relevant bachelor's degree and a U.S. employer's job offer letter are required.
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Get Access To All JobsINTRODUCTION
Jumio is looking for a Research Engineer with a foundation in machine learning, robotics, and data infrastructure to help build and scale the systems used for data collection, model development, and product improvement. This role sits at the intersection of robotics, computer vision, and applied machine learning. You will work hands-on with robotic systems, ROS/ROS2-based modules, mobile data collection workflows, and ML pipelines that support training, evaluation, and production model performance. This is a strong opportunity for a new graduate or early-career engineer who wants to build practical systems that directly improve real-world AI products.
ROLE VALUE
High-quality data and reliable model evaluation infrastructure are critical to improving Jumio’s machine learning and computer vision capabilities. This role helps ensure that data collected from robotic systems and mobile applications is usable, scalable, and connected to the broader model development lifecycle. The Research Engineer will support both the robotics/data collection environment and the ML development workflow, helping the team move faster, improve model quality, and better understand model performance in production.
Responsibilities
- Build and integrate ROS/ROS2-based modules to support robotic navigation, manipulation, and data collection workflows.
- Replicate and integrate mobile and web UI environments into robotic testing and data collection systems.
- Build, maintain, and improve training and test datasets collected through robotic manipulators and in-house iOS and Android applications.
- Mine, query, and analyze data from internal databases to create features, identify trends, and generate insights that improve product and model development.
- Develop tools and processes to monitor data quality, model performance, and model accuracy in production environments.
- Implement end-to-end machine learning workflows, including data preparation, model training, testing, evaluation, and deployment support.
- Write clean, modular, well-documented C++ and Python code that can be maintained and extended by other engineers.
- Collaborate cross-functionally with machine learning, engineering, product, and research teams to improve data collection, model development, and system performance.
BASIC QUALIFICATIONS
- Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field.
- 1–2 years of relevant industry, internship, or research experience in machine learning, robotics, computer vision, or related technical areas.
- Hands-on experience with ROS and/or ROS2, including building or integrating modules for robot navigation, manipulation, simulation, or data collection.
- Strong foundation in machine learning fundamentals, with experience implementing models in Python using frameworks such as PyTorch, TensorFlow, scikit-learn, or similar.
- Experience working with databases, writing queries, and building or maintaining data pipelines for training, testing, or evaluation.
- Strong programming skills in Python and C++, with an emphasis on clean, reliable, well-documented code.
- Ability to work hands-on with physical hardware, debug system behavior, and translate research or prototype work into scalable engineering solutions.
PREFERRED QUALIFICATIONS
- Experience with robotic manipulators, mobile robot platforms, or lab-based robotic systems.
- Familiarity with iOS and/or Android development, especially for hardware-integrated data collection applications.
- Experience with data collection pipelines for computer vision, biometric systems, identity verification, or similar applied AI domains.
- Exposure to production ML observability, model monitoring, drift detection, or data quality monitoring tools.
- Familiarity with cloud platforms such as AWS, including S3, EC2, SageMaker, or similar tools for storage, compute, and model deployment.
- Experience working in cross-functional environments with machine learning engineers, software engineers, researchers, and product teams.
Jumio Values: IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation
Equal Opportunities: Jumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses.
About Jumio: Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders. Jumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we’re expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others.
Applicant Data Privacy
We will only use your personal information in connection with Jumio’s application, recruitment, and hiring processes, as described in Jumio’s Applicant Privacy Notice. If you have any questions or comments, please send an email to privacy@jumio.com.
INTRODUCTION
Jumio is looking for a Research Engineer with a foundation in machine learning, robotics, and data infrastructure to help build and scale the systems used for data collection, model development, and product improvement. This role sits at the intersection of robotics, computer vision, and applied machine learning. You will work hands-on with robotic systems, ROS/ROS2-based modules, mobile data collection workflows, and ML pipelines that support training, evaluation, and production model performance. This is a strong opportunity for a new graduate or early-career engineer who wants to build practical systems that directly improve real-world AI products.
ROLE VALUE
High-quality data and reliable model evaluation infrastructure are critical to improving Jumio’s machine learning and computer vision capabilities. This role helps ensure that data collected from robotic systems and mobile applications is usable, scalable, and connected to the broader model development lifecycle. The Research Engineer will support both the robotics/data collection environment and the ML development workflow, helping the team move faster, improve model quality, and better understand model performance in production.
Responsibilities
- Build and integrate ROS/ROS2-based modules to support robotic navigation, manipulation, and data collection workflows.
- Replicate and integrate mobile and web UI environments into robotic testing and data collection systems.
- Build, maintain, and improve training and test datasets collected through robotic manipulators and in-house iOS and Android applications.
- Mine, query, and analyze data from internal databases to create features, identify trends, and generate insights that improve product and model development.
- Develop tools and processes to monitor data quality, model performance, and model accuracy in production environments.
- Implement end-to-end machine learning workflows, including data preparation, model training, testing, evaluation, and deployment support.
- Write clean, modular, well-documented C++ and Python code that can be maintained and extended by other engineers.
- Collaborate cross-functionally with machine learning, engineering, product, and research teams to improve data collection, model development, and system performance.
BASIC QUALIFICATIONS
- Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field.
- 1–2 years of relevant industry, internship, or research experience in machine learning, robotics, computer vision, or related technical areas.
- Hands-on experience with ROS and/or ROS2, including building or integrating modules for robot navigation, manipulation, simulation, or data collection.
- Strong foundation in machine learning fundamentals, with experience implementing models in Python using frameworks such as PyTorch, TensorFlow, scikit-learn, or similar.
- Experience working with databases, writing queries, and building or maintaining data pipelines for training, testing, or evaluation.
- Strong programming skills in Python and C++, with an emphasis on clean, reliable, well-documented code.
- Ability to work hands-on with physical hardware, debug system behavior, and translate research or prototype work into scalable engineering solutions.
PREFERRED QUALIFICATIONS
- Experience with robotic manipulators, mobile robot platforms, or lab-based robotic systems.
- Familiarity with iOS and/or Android development, especially for hardware-integrated data collection applications.
- Experience with data collection pipelines for computer vision, biometric systems, identity verification, or similar applied AI domains.
- Exposure to production ML observability, model monitoring, drift detection, or data quality monitoring tools.
- Familiarity with cloud platforms such as AWS, including S3, EC2, SageMaker, or similar tools for storage, compute, and model deployment.
- Experience working in cross-functional environments with machine learning engineers, software engineers, researchers, and product teams.
Jumio Values: IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation
Equal Opportunities: Jumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses.
About Jumio: Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders. Jumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we’re expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others.
Applicant Data Privacy
We will only use your personal information in connection with Jumio’s application, recruitment, and hiring processes, as described in Jumio’s Applicant Privacy Notice. If you have any questions or comments, please send an email to privacy@jumio.com.
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Get Access To All JobsTips for Finding TN Visa Sponsorship in Machine Learning Research
Frame your degree for TN eligibility
TN visa officers assess whether your field of study directly supports the role. A degree in computer science, statistics, or applied mathematics maps cleanly to ML Research. A general engineering degree may require a credential evaluation letter to establish the connection.
Target employers experienced with visa sponsorship
Research labs, AI-focused firms, and university spinouts have experience sponsoring work visas for specialized roles. Prioritize roles where the job description specifies a quantitative or computer science degree requirement, since that language directly supports TN eligibility. For Canadians, the employer will provide a support letter you present at the U.S. port of entry; for Mexicans, you'll apply through a U.S. consulate with the employer's support letter.
Search for verified sponsorship opportunities on Migrate Mate
Use Migrate Mate to filter ML Research openings by TN visa sponsorship. It surfaces roles from employers already familiar with the TN process, saving you time spent on positions where sponsorship is uncertain or unavailable.
Clarify your SOC code before the offer letter
Ask your employer to confirm whether the role will be classified under Computer Systems Analyst or a related category. The SOC code shapes the job offer letter language, and a mismatch between the letter and your actual duties is a common TN denial trigger at the port of entry or consulate.
Get your Canadian credentials formatted correctly
Canadian professionals entering by land port need their TN application package ready on arrival. Include your degree transcripts, the employer's offer letter on company letterhead, and a one-page summary of your specific ML Research duties. Officers don't retrieve documents for you.
Prepare for employer unfamiliarity with TN classification
Many U.S. companies default to H-1B visa sponsorship workflows and don't realize TN requires no petition or USCIS filing for Canadians. Come to offer negotiations ready to explain that TN processing is handled at the port of entry or consulate, not through USCIS.
Machine Learning Research TN Visa: Frequently Asked Questions
Does Machine Learning Research qualify as a TN visa occupation?
Yes, but the classification depends on how the role is defined. Most ML Research positions map to Computer Systems Analyst under the USMCA TN category, particularly when the work involves designing or analyzing computational systems. Roles with a stronger mathematical modeling focus may also qualify under Mathematician. The job offer letter must use language that aligns with the qualifying category's duties, not just the job title.
How does TN compare to H-1B for Machine Learning Research roles?
TN is faster and more predictable for Canadian professionals. There's no lottery, no annual cap, and no USCIS petition required. Canadians can be approved at a land port of entry the same day. H-1B involves a lottery with roughly a one-in-four selection rate, a multi-month USCIS process, and a premium processing fee if you need faster results. Mexican nationals still apply through a U.S. consulate, but they also avoid the H-1B lottery entirely.
What documents does my employer need to prepare for my TN application?
Your employer provides a signed offer letter on company letterhead that describes your specific ML Research duties, confirms you'll be employed in a qualifying TN occupation, states your start date and employment terms, and lists your degree requirements for the role. The letter doesn't need to be a formal USCIS filing, but it must be detailed enough for a CBP officer or consular officer to confirm TN eligibility on its face.
Where can I find Machine Learning Research jobs with TN visa sponsorship?
Migrate Mate lets you search ML Research openings filtered specifically by TN visa sponsorship, so you're not guessing which employers will support the process. Many job postings don't specify visa type, and companies that know H-1B often don't realize TN is an option. Filtering by sponsorship type upfront avoids late-stage surprises when you're already in offer discussions.
Can I switch ML Research employers while on TN status?
Yes, but you need a new TN authorization before starting work with the new employer. Canadians can obtain a new TN at a port of entry with the new employer's offer letter. Mexican nationals apply through a U.S. consulate. Unlike H-1B, there's no portability provision that lets you start immediately on a pending application, so time the transition to avoid any gap between your current TN and the new one.