Jumio
Research Engineer – Machine Learning & Robotics
Lenexa, Kansas · Internship
Sponsorship not specifiedDetected 25 days ago
PythonC++iOSAndroidAWSCloud PlatformsMachine LearningTensorFlowPyTorchscikit-learnData EngineeringComputer VisionMLOpsRoboticsElectrical EngineeringResearchCollaboration
About the role
- This role sits at the intersection of robotics, computer vision, and applied machine learning.
- 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.
Responsibilities
- Build and integrate ROS/ROS2-based modules to support robotic navigation, manipulation, and data collection workflows.
- 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.
- Experience working with databases, writing queries, and building or maintaining data pipelines for training, testing, or evaluation.
Requirements
- Hands-on experience with ROS and/or ROS2, including building or integrating modules for robot navigation, manipulation, simulation, or data collection.
- Ability to work hands-on with physical hardware, debug system behavior, and translate research or prototype work into scalable engineering solutions.
- If you have any questions or comments, please send an email to privacy@jumio.com.
Nice to have
- 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.
- 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.
- 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.
Benefits
- Implement end-to-end machine learning workflows, including data preparation, model training, testing, evaluation, and deployment support.
- Collaborate cross-functionally with machine learning, engineering, product, and research teams to improve data collection, model development, and system performance.
- 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.
- Strong foundation in machine learning fundamentals, with experience implementing models in Python using frameworks such as PyTorch, TensorFlow, scikit-learn, or similar.
This listing is sourced directly from Jumio's careers page and normalized into a canonical job model.