ML Engineer – Robotics

About the role

About the Role We are an AI data and model training company working with top frontier AI labs and enterprises worldwide. Our team sits at the cutting edge of embodied intelligence, and we're looking for a talented ML Engineer – Robotics to design, train, and deploy intelligent models that power autonomous systems. You will work at the intersection of machine learning, control systems, and real-world robotics — building perception, planning, and decision-making pipelines that make machines truly adaptive. This role is ideal for someone who thrives on hard, interdisciplinary problems and loves combining data-driven learning with real-world physical constraints. This is a fully on-site role based in the Bay Area (Mountain View, CA). Visa sponsorship is not available — candidates must be authorized to work in the United States without employer sponsorship. 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 real-world scenarios. What We're Looking For Required: Bachelor's degree in Computer Science, Electrical/Mechanical Engineering, Robotics, or a closely related field (or equivalent practical experience). 3–8 years of hands-on experience in machine learning, robotics, or computer vision with practical production exposure. Proficiency in Python and C++ for robotics software development. Experience with ROS/ROS2 for robotics software integration. Strong experience with sensor fusion and multi-sensor perception (camera, LiDAR, IMU). Hands-on experience with simulation environments such as Gazebo, Isaac Sim, CARLA, MuJoCo, or PyBullet . Proven ability to design, train, and deploy learning-based models within live robotics systems and production pipelines. Strong collaboration and communication skills for working with cross-functional teams including hardware engineers. Must be authorized to work in the United States without employer visa sponsorship. Nice to Have: Familiarity with reinforcement learning, imitation learning, or adaptive control techniques. Experience with PyTorch and/or TensorFlow. Solid grasp of deploying ML models in real-time or embedded environments. Background in localization, SLAM, or control systems. Compensation & Benefits Salary: $220,000 – $300,000 per year, depending on experience. Competitive equity and benefits package. Location On-site in Mountain View / Bay Area, CA. No remote option for this role. Visa sponsorship is not available .