ML Engineer – Robotics

### About the Role A Series A AI/ML platform company is looking for an **ML Engineer – Robotics** to design, train, and deploy machine learning models that power autonomous systems. You'll work at the intersection of machine learning, control, and real-world robotics — building perception, planning, and decision-making pipelines alongside hardware and robotics engineers. Your work will help make machines adaptive and robust across diverse, real-world scenarios. ### What You'll Do - Develop and optimize ML models for perception, motion planning, and control. - Build computer vision and sensor-fusion systems using camera, LiDAR, and IMU data. - Integrate learning-based models with robotics software stacks (ROS/ROS2). - Design pipelines for data collection, simulation, and reinforcement learning. - Collaborate with robotics and hardware engineers to deploy models in live environments. - Continuously evaluate model performance and robustness across diverse scenarios. ### What We're Looking For **Required (Dealbreakers):** - Proficiency in Python and C++, with hands-on experience using PyTorch and/or TensorFlow to build and deploy models. - Experience with ROS or ROS2 and integrating ML models into robotics software stacks for live deployments. **Required:** - 3–10 years of experience in machine learning, robotics, or computer vision. - Strong grasp of robotics concepts such as localization, SLAM, control systems, and sensor fusion. - Experience with simulation environments (e.g., Gazebo, Isaac Sim, CARLA, MuJoCo, or PyBullet) for training, testing, or validation. - Familiarity with reinforcement learning, imitation learning, or adaptive control techniques applicable to robotics. - Experience deploying ML models in real-time or embedded environments. **Nice to Have:** - Experience with on-board/edge deployment and optimizing models for constrained hardware. ### Location This is an **on-site role** based in **Mountain View, CA**. Candidates must be able to work on-site and collaborate closely with cross-functional engineering teams. **Visa sponsorship is not available.** ### Compensation Base salary range: **$220,000 – $300,000 USD annually**, commensurate with experience.