The Era of Superhuman Robotics. Backed by a16z.
About the role
We are looking for a Reinforcement/Machine Learning Infrastructure Engineer to shape our training infrastructure. In this role, you will be responsible for designing, implementing, and maintaining the large-scale model training systems that power our next generation of robot learning.
What they're looking for
- Education: BS, MS or higher in Computer Science, Computer Engineering, Machine Learning or a related technical field
- Software Engineering: Strong software engineering fundamentals with a proven track record of building ML training infrastructure, internal developer platforms, or scalable systems
- Deep Learning Frameworks: Hands-on experience with large-scale training using JAX (preferred), PyTorch, or TensorFlow
- Distributed Systems: Familiarity with distributed training, multi-host setups, data pipelines, and managing workloads on cloud platforms or orchestration systems (e.g., Kubernetes, SLURM, GCP, AWS)
- Communication & Ownership: Strong cross-functional communication skills, a deep ownership mindset, and a passion for building tools that improve the developer experience
- Infrastructure & DevOps: Experience building automated testing pipelines, CI/CD for ML workflows, and custom logging/telemetry stacks
More about this role
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.
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.
We are looking for a Reinforcement/Machine Learning Infrastructure Engineer to shape our training infrastructure. In this role, you will be responsible for designing, implementing, and maintaining the large-scale model training systems that power our next generation of robot learning.
We believe that world-class infrastructure is the foundation for moving research into production. You will focus on building an exceptional developer experience, creating intuitive and efficient tooling that our engineers and scientists love to use. Your work will directly accelerate our research cycles, making it effortless to test new ideas and scale successful experiments into production training runs. You will work closely with researchers to ensure...
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