Research Engineer – Machine Learning & Robotics

Jumio Corporation is a B2B technology company dedicated to eradicating online identity fraud and financial crimes. They are seeking a Research Engineer with a foundation in machine learning and robotics to build and scale systems for data collection and model development.

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

Requirements:

• 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
• 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