ML Engineer - Robotics

<h3>About the Role</h3><p style="min-height:1.5em">We are a Series A AI company based in Mountain View, CA, building high-quality training and post-training data, robust reinforcement learning environments, and intelligent agents that bridge the gap between AI research and real-world execution. Our work spans multimodal data, agentic systems, and physical intelligence — and we collaborate closely with frontier AI labs and enterprises.</p><p style="min-height:1.5em">As an <strong>ML Engineer – Robotics</strong>, you will design, train, and deploy intelligent models that power autonomous systems at the intersection of machine learning, control systems, and real-world robotics. You'll build perception, planning, and decision-making pipelines that make machines truly adaptive, solving hard, interdisciplinary problems that combine data-driven learning with real-world physical constraints.</p><h3>What You'll Do</h3><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Develop and optimize ML models for perception, motion planning, and control.</p></li><li><p style="min-height:1.5em">Build computer vision and sensor fusion systems using camera, LiDAR, and IMU data.</p></li><li><p style="min-height:1.5em">Integrate learning-based models with robotics software stacks (ROS/ROS2).</p></li><li><p style="min-height:1.5em">Design pipelines for data collection, simulation, and reinforcement learning workflows.</p></li><li><p style="min-height:1.5em">Collaborate with robotics and hardware engineers to deploy models in live, real-world environments.</p></li><li><p style="min-height:1.5em">Continuously evaluate model performance and robustness across diverse scenarios and deployments.</p></li></ul><h3>What We're Looking For</h3><p style="min-height:1.5em"><strong>Required</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">3–8 years of professional experience in Machine Learning, Robotics, or Computer Vision.</p></li><li><p style="min-height:1.5em">Proficiency in <strong>Python</strong> and <strong>C++</strong> for robotics and ML development.</p></li><li><p style="min-height:1.5em">Hands-on experience with <strong>PyTorch</strong> and/or <strong>TensorFlow</strong> for model development.</p></li><li><p style="min-height:1.5em">Proficiency with <strong>ROS or ROS2</strong> and integrating ML models into robotics software stacks.</p></li><li><p style="min-height:1.5em">Experience with robotics simulation and benchmarking tools such as <strong>Gazebo, Isaac Sim, CARLA, MuJoCo,</strong> or <strong>PyBullet</strong>.</p></li><li><p style="min-height:1.5em">Experience designing and deploying perception, motion planning, and control pipelines for autonomous systems.</p></li><li><p style="min-height:1.5em">Experience with sensor fusion using camera, LiDAR, and IMU data.</p></li><li><p style="min-height:1.5em">Experience with data collection pipelines, simulation environments, and reinforcement learning workflows.</p></li><li><p style="min-height:1.5em">Strong ability to evaluate model performance and robustness across diverse real-world scenarios.</p></li></ul><p style="min-height:1.5em"><strong>Nice to Have</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Familiarity with reinforcement learning, imitation learning, or adaptive control techniques.</p></li><li><p style="min-height:1.5em">Background in localization, SLAM, or advanced control systems.</p></li><li><p style="min-height:1.5em">Passion for embodied intelligence and pushing the boundaries of autonomous systems.</p></li></ul><p style="min-height:1.5em"><strong>Eligibility</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Must be eligible to work in the United States without company visa sponsorship. Visa sponsorship is <strong>not available</strong> for this role.</p></li></ul><h3>Compensation &amp; Benefits</h3><ul style="min-height:1.5em"><li><p style="min-height:1.5em"><strong>Salary:</strong> $220,000 – $300,000 USD annually, commensurate with experience.</p></li></ul><h3>Location</h3><ul style="min-height:1.5em"><li><p style="min-height:1.5em"><strong>On-site</strong> in Mountain View, CA. Local candidates or candidates willing to relocate are required. Remote work is not available for this position.</p></li></ul><p>Find <a href="https://www.arbeitnow.co.uk">Jobs in United Kingdom</a> on Arbeitnow</a>