TN Visa ML Research Engineer Jobs
ML Research Engineer roles qualify for TN visa sponsorship under the USMCA's Computer Systems Analyst category, provided your work involves applying machine learning to defined technical problems rather than pure academic research. Canadian citizens can secure TN status at the port of entry with a qualifying job offer. Mexican citizens follow the consular route.
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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 as a ML Research Engineer
Frame your CV around applied ML deliverables
TN visa officers evaluate whether your role qualifies as Computer Systems Analyst work. Restructure your CV to lead with deployed models, production pipelines, and measurable outcomes rather than research publications or academic contributions that signal pure research.
Target employers with existing TN filing infrastructure
Large technology and AI-focused companies that already employ TN workers have established HR and legal workflows for the visa category. Ask recruiters directly whether they've sponsored TN visas before accepting any offer.
Get your offer letter to specify Systems Analyst duties
The offer letter is your primary TN document. It must describe your ML Research Engineer duties in terms that map to analyzing systems, designing solutions, and implementing technical recommendations, not conducting open-ended research.
Verify your degree field matches the role description
TN requires a direct relationship between your degree and the offered position. A degree in mathematics or statistics typically qualifies, but a physics or biology degree needs a clearer bridge to applied ML work in your support documentation.
Use Migrate Mate to find employers who sponsor TN visas
Search Migrate Mate to identify ML Research Engineer roles from employers with recent visa filings and experience sponsoring work visas. The platform filters jobs by visa type so you apply only where employers have demonstrated familiarity with the visa sponsorship process.
Prepare for port-of-entry review if you are Canadian
Canadian citizens apply for TN status directly at a U.S. land border or airport. Bring your offer letter, degree transcripts, and a one-page duties summary. CBP officers review TN applications on the spot, so clear documentation shortens the process.
ML Research Engineer TN Visa: Frequently Asked Questions
Does ML Research Engineer qualify for TN visa sponsorship?
Yes, but the role must align with the Computer Systems Analyst occupation listed under USMCA. The position needs to involve analyzing technical requirements, designing ML systems, and implementing solutions in a production or applied context. Roles framed around pure academic research or open-ended experimentation are harder to qualify and may face officer scrutiny at the border or consulate.
How does TN visa sponsorship compare to H-1B for ML Research Engineers?
TN has no annual lottery and no cap for Canadian citizens, so you can start work as soon as CBP approves your application at the port of entry. H-1B visa selection is limited to 85,000 slots per fiscal year and decided by random lottery. For Canadian ML professionals with a qualifying offer, TN is often faster and more predictable than waiting for H-1B lottery results.
Where can I find ML Research Engineer jobs with TN visa sponsorship?
Migrate Mate is built specifically for this search. It surfaces ML Research Engineer roles from employers who have actively sponsored TN visas, so you avoid spending time on applications where the employer has no experience with the visa category. Generic job boards don't filter by sponsorship history, which makes the process significantly less efficient.
Can a Mexican citizen get TN sponsorship for an ML Research Engineer role?
Yes, but the process differs from Canadian citizens. Mexican nationals must apply at a U.S. consulate in Mexico rather than at a port of entry, and Mexico's TN allocation is limited to 5,500 per year across all professional categories. Applying early in the fiscal year and having a well-documented offer letter reduces the risk of delays due to allocation constraints.
What documentation does my employer need to provide for my TN application?
Your employer must provide a signed offer letter on company letterhead that specifies your title, duties, start date, and compensation. The letter should explicitly describe your ML Research Engineer responsibilities in terms that match the Computer Systems Analyst occupation definition. Some employers also include an organizational chart and a description of the technical systems you will analyze or build.