4 months ago
Responsibilities
- Build and integrate ROS/ROS2 modules supporting robotic navigation, manipulation, simulation, and data collection.
- Replicate and integrate mobile and web UI environments into robotic testing and data collection systems.
- Build and maintain training and test datasets collected through robotic manipulators and iOS and Android applications.
- Query and analyze internal database data to create features, identify trends, and generate product and model-development insights.
- Develop tools and processes for monitoring data quality, model performance, and model accuracy in production.
- Implement end-to-end machine learning workflows including data preparation, model training, testing, evaluation, and deployment support.
- Write clean, modular, and documented C++ and Python code.
- Collaborate with machine learning, engineering, product, and research teams.
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 ROS or ROS2 experience, including building or integrating modules for navigation, manipulation, simulation, or data collection.
- Experience implementing machine learning models in Python with frameworks such as PyTorch, TensorFlow, or scikit-learn.
- Experience with databases, queries, and data pipelines for training, testing, or evaluation.
- Strong Python and C++ programming skills with an emphasis on clean, reliable, documented code.
- Ability to work with physical hardware, debug system behavior, and translate research or prototype work into scalable engineering solutions.
- Preferred experience includes robotic manipulators, mobile robots, lab-based robotic systems, iOS or Android development, computer-vision data collection, production ML observability, model monitoring, drift detection, data-quality monitoring, and AWS ML services.
Categories
ML EngineeringRobotics
About Jumio
Jumio builds identity verification, document verification, and KYC solutions for enterprises, delivered via APIs and web workflows to reduce fraud and meet compliance. Privately held and founded in 2015 with headquarters in Jaipur, India, it verifies government-issued IDs and biometrics with liveness checks from 200+ countries, serving sectors such as financial services, fintech, e-commerce, and online gaming.