Machine Learning / Reinforcement Learning Engineer
Eka, Boston Area
The role
Our team consists of pioneers in robotics and machine learning. We are now hiring to scale our R&D effort. We are looking for hands-on individuals who are excited to help shape the future of robotics.
What you will do
- Algorithm Development: Research and implement reinforcement learning and supervised learning algorithms for robotic manipulation.
- Simulation: Design simulation models and domain randomization strategies; collaborate with the robotics team to ensure alignment with physical systems.
- Performance Optimization: Design experiments to evaluate and optimize model architectures for sample complexity and policy performance with real-time execution constraints.
- Data & Pipeline Engineering: Develop scalable data management pipelines for real and synthetic data; evaluate and select algorithms that maximize data efficiency and overall policy performance.
- On-Robot Evaluation: Deploy, evaluate, and debug policies on physical hardware; identify bottlenecks and implement improvements in collaboration with the robotics team.
What you need
- Education: BS, MS, or PhD in Computer Science, Robotics, or a related field.
- Core Expertise: Deep theoretical and practical knowledge of reinforcement learning and supervised learning algorithms.
- Robotics Toolkit: Experience with physics engines (e.g., Isaac Sim, MuJoCo, PyBullet) and robotics middleware (ROS/ROS2).
- Architectural Depth: A deep understanding of modern architectures, including Transformers, CNNs, and Foundation Models.
- Technical Proficiency: Expert-level Python skills and proficiency in deep learning frameworks such as PyTorch or JAX.
- Engineering Rigor: A strong commitment to clean code, version control, and reproducible experimental workflows.
- Track Record: A history of publications in top-tier robotics or machine learning conferences, or a portfolio of projects providing strong practical evidence of expertise in the field.
About Eka
Eka Robotics
Eka Robotics is on a mission to build intelligence for the physical world - robots that are fast, general, and reliable. Our approach, grounded in physics, unlocks superhuman capabilities. We are defining the frontier of robotics research and deployment.