Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Company Overview
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