AI ML Engineering Visa Sponsorship Jobs in Kansas
Kansas has a smaller but growing AI/ML engineering market, with employers like Garmin, Cerner (Oracle Health), and Sprint (T-Mobile) historically sponsoring international engineers in Wichita and Kansas City metro areas. Defense contractors and agricultural technology firms are also expanding machine learning teams, making targeted job searches worthwhile for internationally trained engineers.
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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.
AI ML Engineering Job Roles in Kansas
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Search AI ML Engineering Jobs in KansasAI ML Engineering Jobs in Kansas: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in Kansas?
Garmin's Olathe headquarters is one of the most active sponsors for AI and ML engineering roles in Kansas, particularly for embedded intelligence and navigation systems work. Oracle Health (formerly Cerner) in the Kansas City metro area has also sponsored international engineers for data science and ML positions. Smaller aerospace and agtech firms in Wichita occasionally sponsor for specialized machine learning roles, though at lower volume.
Which visa types are most common for AI ML engineering roles in Kansas?
The H-1B visa is the most common visa category for AI and ML engineers in Kansas, as these roles consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, data science, or a related field. Candidates with exceptional research records may also qualify for the O-1A. Employers in Kansas with established international hiring programs are more likely to have existing sponsorship infrastructure in place.
Which cities in Kansas have the most AI ML engineering sponsorship jobs?
The Kansas City metro area, particularly the Overland Park and Olathe corridors in Johnson County, concentrates the majority of AI and ML engineering sponsorship activity in Kansas. Wichita has a smaller but active market, anchored by aerospace and manufacturing technology firms expanding into predictive analytics and automation. Lawrence occasionally surfaces roles connected to University of Kansas research partnerships and affiliated startups.
How to find ai ml engineering visa sponsorship jobs in Kansas?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify AI and ML engineering roles in Kansas without manually screening each posting. You can search by role type and state to surface positions at Kansas employers who have an active sponsorship history. This is especially useful in a mid-sized market like Kansas, where sponsoring employers are fewer but do exist across tech, defense, and agtech sectors.
What state-specific factors should AI ML engineers know about working in Kansas?
Kansas employers sponsoring AI and ML engineers must meet Department of Labor prevailing wage requirements for the specific county where the work is performed, which can differ between the Kansas City metro and Wichita. The University of Kansas and Kansas State University produce graduate-level ML talent, creating local candidate pipelines that sometimes reduce employer urgency to sponsor internationally. Engineers with backgrounds in aerospace data systems, precision agriculture, or healthcare IT tend to find the most relevant employer matches in the state.
What is the prevailing wage for sponsored ai ml engineering jobs in Kansas?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.