Hiring: Research Engineer – Machine Learning & Robotics Company: Jumio Corporation Location: Lenexa, KS Job Posted Time: 2026-09-15 10:32:39 Employment Type: Internship Target Skills & Keywords : AWS, Android, C++, Computer Vision, Data Pipeline, EC2, Machine Learning, PyTorch, Python, S3, SageMaker, TensorFlow, iOS, scikit-learn About the job Experience: •1–2 years of relevant industry, internship, or research experience in machine learning, robotics, computer vision, or related technical areas. •Applied hands-on capability in 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. •Strong programming skills in Python and C++, with an emphasis on clean, reliable, well-documented code. •Demonstrated capacity to work hands-on with physical hardware, debug system behavior, and translate research or prototype work into scalable engineering solutions. Required Skills: •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. •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. •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. Qualifications: •Operational 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. •Operational 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 •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. •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. •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. •Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!