Research Scientist

Our mission is to build the world’s first labor agency that deploys dexterous robots as its primary workforce.We start by deploying wheeled humanoid robots in industrial manufacturing and assembly lines.You’ll be joining a team of extremely hardcore and self-motivated engineers, scientists, and operators who focus on winning 24/7.You will develop and own entire systems from design to deployment, playing a foundational role in deploying 5000+ robots by 2031.What you'll do Design and develop robot autonomy software stack and algorithms to enable capabilities including grasping and more dexterous behaviors in unstructured environmentsResearch and implement state-of-the-art robot learning policies, including reinforcement learning and imitation learning-based techniquesBuild reliable, high-speed robot autonomy software stack optimized for inference performanceDesign and maintain robust data collection and curation pipelines for production robot fleetsOptimize robot policies for distributed training at scale and real-time edge deploymentShip production quality, safety-critical softwareRequired Qualifications Master's/PhD degree in Computer Science, Machine Learning, Robotics, or equivalent technical disciplineDeep expertise in machine learning fundamentals, reinforcement learning, and associated frameworks (PyTorch, TensorFlow, Ray, etc.)3+ years of proven track record developing and deploying ML systems from research through production implementationHands-on experience with model lifecycle management including training, deployment, and maintenance in production settingsPreferred Qualifications Authored or co-authored peer-reviewed publications in robotics or related fieldsHands-on experience designing and implementing bimanual manipulation tech stacks with imitation learning or RL-based methodsBackground in real-time ML inference systems, simulation-to-reality transfer, or advanced reinforcement learning implementationsBenefits We support publishing at top robotics/ML venues and presenting at conferences (travel + time fully covered).Advance SOTA dexterous manipulation research through novel methodologies while bridging theory & practice—real customer use-cases with clear success criteria.Medical, dental & vision plansDaily meals stipendExpected Compensation $120,000 - $250,000 annual salary + cash and stock awards + benefitsHiring Process Phone screen + 3 virtual technical interviews + onsite