{"schemaVersion":"jobsearcher.job.v1","id":"e1e75b46747629d83e080f0e","url":"https://jobsearcher.com/jobs/e1e75b46747629d83e080f0e","canonicalUrl":"https://jobsearcher.com/jobs/e1e75b46747629d83e080f0e","title":"Machine Learning Engineer - Robot Manipulation","description":"Company Overview\nMaven Robotics is building the world’s leading general-purpose AI robots.\nWe 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.\nRole Description\nWe 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.\nIn this role you will:\nDesign 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.\nTranslate high-level objectives into machine learning problems and deploy robust, scalable models to real-world robotic systems.\nIntegrate your ML solutions into existing robotics workflows, ensuring that models are performant in both simulated and real-world settings.\nDrive innovation by incorporating the latest research in machine learning into practical applications that push the boundaries of robotic manipulation.\nTake ownership of critical ML projects, seeing them through from conception to successful deployment.\nCollaborate across disciplines to ensure seamless integration of ML models and provide technical mentorship to junior engineers.\nQualifications\nMust-have:\nMS or PhD in machine learning, computer science, robotics, or a related field.\nStrong practical experience in training and deploying machine learning models for real-world applications.\nDeep understanding of reinforcement learning (RL) and imitation learning (IL) and their application to robotics.\nProficiency in programming languages and tools commonly used in machine learning (e.g., Python, PyTorch).\nExperience with data collection, preprocessing, and management in the context of training ML models.\nSelf-starter attitude with strong ability to identify problems, prioritize them, then plan and execute working solutions.\nEnthusiasm for working in a fast paced startup environment and eagerness to support the team on a variety of topics.\nNice-to-have:\nFamiliarity with robotic simulation environments (e.g., Gazebo, MuJoCo) and experience in sim-to-real transfer.\nExperience in:\nDesigning and implementing reward functions for complex manipulation tasks.\nDeveloping models that can handle noisy, incomplete, or sparse data.\nDeployment of ML models to edge devices for real-time inference.\nAccelerating ML training processes using GPU, TPU, or other HW accelerators.\nUsing reinforcement learning frameworks, e.g. Stable Baselines, RLlib, or similar.\nGeneral knowledge of robotics principles, including kinematics, dynamics, and control.\nPublications or contributions to the machine learning community, particularly in areas related to robotics or reinforcement learning.","company":"Maven Robotics","rawCompany":"maven robotics","city":"Alameda","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-05T11:55:29.334Z","occupations":[{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"},{"code":"17-3024.01","title":"Robotics Technicians","slug":"robotics-technicians"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"333248","title":"All Other Industrial Machinery Manufacturing","slug":"all-other-industrial-machinery-manufacturing"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer - Robot Manipulation","description":"Company Overview\nMaven Robotics is building the world’s leading general-purpose AI robots.\nWe 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.\nRole Description\nWe 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.\nIn this role you will:\nDesign 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.\nTranslate high-level objectives into machine learning problems and deploy robust, scalable models to real-world robotic systems.\nIntegrate your ML solutions into existing robotics workflows, ensuring that models are performant in both simulated and real-world settings.\nDrive innovation by incorporating the latest research in machine learning into practical applications that push the boundaries of robotic manipulation.\nTake ownership of critical ML projects, seeing them through from conception to successful deployment.\nCollaborate across disciplines to ensure seamless integration of ML models and provide technical mentorship to junior engineers.\nQualifications\nMust-have:\nMS or PhD in machine learning, computer science, robotics, or a related field.\nStrong practical experience in training and deploying machine learning models for real-world applications.\nDeep understanding of reinforcement learning (RL) and imitation learning (IL) and their application to robotics.\nProficiency in programming languages and tools commonly used in machine learning (e.g., Python, PyTorch).\nExperience with data collection, preprocessing, and management in the context of training ML models.\nSelf-starter attitude with strong ability to identify problems, prioritize them, then plan and execute working solutions.\nEnthusiasm for working in a fast paced startup environment and eagerness to support the team on a variety of topics.\nNice-to-have:\nFamiliarity with robotic simulation environments (e.g., Gazebo, MuJoCo) and experience in sim-to-real transfer.\nExperience in:\nDesigning and implementing reward functions for complex manipulation tasks.\nDeveloping models that can handle noisy, incomplete, or sparse data.\nDeployment of ML models to edge devices for real-time inference.\nAccelerating ML training processes using GPU, TPU, or other HW accelerators.\nUsing reinforcement learning frameworks, e.g. Stable Baselines, RLlib, or similar.\nGeneral knowledge of robotics principles, including kinematics, dynamics, and control.\nPublications or contributions to the machine learning community, particularly in areas related to robotics or reinforcement learning.","datePosted":"2026-08-05T11:55:29.334Z","dateModified":"2026-08-05T11:55:29.334Z","hiringOrganization":{"@type":"Organization","name":"Maven Robotics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Alameda","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e1e75b46747629d83e080f0e"},"url":"https://jobsearcher.com/jobs/e1e75b46747629d83e080f0e"}}