Machine Learning / Reinforcement Learning Engineer

The role

This person will research and implement reinforcement learning and supervised learning algorithms for robotic manipulation. They will design simulation models, develop data pipelines, and deploy policies on physical hardware.

What you will do

• Research and implement reinforcement learning and supervised learning algorithms for robotic manipulation
• Design simulation models and domain randomization strategies
• Collaborate with the robotics team to ensure alignment with physical systems
• Design experiments to evaluate and optimize model architectures
• Develop scalable data management pipelines for real and synthetic data
• Evaluate and select algorithms that maximize data efficiency and policy performance
• Deploy, evaluate, and debug policies on physical hardware
• Identify bottlenecks and implement improvements in collaboration with the robotics team

Required qualifications

• BS, MS, or PhD in Computer Science, Robotics, or a related field
• Deep theoretical and practical knowledge of reinforcement learning and supervised learning algorithms
• Experience with physics engines (e.g., Isaac Sim, MuJoCo, PyBullet)
• Experience with robotics middleware (ROS/ROS2)
• Deep understanding of modern architectures, including Transformers, CNNs, and Foundation Models
• Expert-level Python skills
• Proficiency in deep learning frameworks such as PyTorch or JAX
• Strong commitment to clean code, version control, and reproducible experimental workflows
• 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 the company

Eka Robotics is on a mission to build intelligence for the physical world - robots that are fast, general, and reliable. Their approach is grounded in physics to unlock superhuman capabilities.