Machine Learning Engineer - Robot Manipulation

Job description

# Company Overview Maven Robotics is building the world’s leading general-purpose AI robots. We are currently operating in stealth and are growing the world’s best team in AI robotics. We are looking for self-starters that are the world’s best in their field, who can innovate from a deep understanding of the fundamentals, and who share our values of unwavering truth seeking and integrity, humility, curiosity, and relentless determination. # Role Description We are looking to recruit an exceptional **Machine Learning Engineer - Robot Manipulation** to design, implement, test, and deploy robot manipulation algorithms that enable assembly and material movement tasks. In this role you will: - Design and implement machine learning algorithms, with a focus on reinforcement learning (RL) and imitation learning (IL), to enable robotic manipulators to perform complex tasks in dynamic environments. - Translate high-level objectives into machine learning problems and deploy robust, scalable models to real-world robotic systems. - Integrate your ML solutions into existing robotics workflows, ensuring that models are performant in both simulated and real-world settings. - Drive innovation by incorporating the latest research in machine learning into practical applications that push the boundaries of robotic manipulation. - Take ownership of critical ML projects, seeing them through from conception to successful deployment. - Collaborate across disciplines to ensure seamless integration of ML models and provide technical mentorship to junior engineers. # Qualifications *Must-have:* - MS or PhD in machine learning, computer science, robotics, or a related field. - Strong practical experience in training and deploying machine learning models for real-world applications. - Deep understanding of reinforcement learning (RL) and imitation learning (IL) and their application to robotics. - Proficiency in programming languages and tools commonly used in machine learning (e.g., Python, PyTorch). - Experience with data collection, preprocessing, and management in the context of training ML models. - Self-starter attitude with strong ability to identify problems, prioritize them, then plan and execute working solutions. - Enthusiasm for working in a fast paced startup environment and eagerness to support the team on a variety of topics. *Nice-to-have:* - Familiarity with robotic simulation environments (e.g., Gazebo, MuJoCo) and experience in sim-to-real transfer. - Experience in: - Designing and implementing reward functions for complex manipulation tasks. - Developing models that can handle noisy, incomplete, or sparse data. - Deployment of ML models to edge devices for real-time inference. - Accelerating ML training processes using GPU, TPU, or other HW accelerators. - Using reinforcement learning frameworks, e.g. Stable Baselines, RLlib, or similar. - General knowledge of robotics principles, including kinematics, dynamics, and control. - Publications or contributions to the machine learning community, particularly in areas related to robotics or reinforcement learning.