{"schemaVersion":"jobsearcher.job.v1","id":"408db38e2bea37ed98d34587","url":"https://jobsearcher.com/jobs/408db38e2bea37ed98d34587","canonicalUrl":"https://jobsearcher.com/jobs/408db38e2bea37ed98d34587","title":"Machine Learning Engineer - Robot Perception","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 Perception to design, implement, test, and deploy robot perception algorithms that power our robots’ ability to understand and interact with the world.\nIn this role you will:\nDevelop, train, and deploy ML-based perception algorithms for object detection, pose estimation, tracking, and scene understanding.\nIntegrate sensor fusion techniques using cameras, depth sensors, IMUs, and tactile feedback.\nOptimize real-time perception pipelines for low-latency and robust performance in dynamic environments.\nWork closely with hardware engineers to design sensor configurations and optimize perception models for onboard deployment.\nContribute to our broader AI and autonomy stack, ensuring seamless integration with reasoning, manipulation, planning and control.\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 background in computer vision, deep learning, and sensor fusion.\nProficiency in Python and C++, with experience in frameworks like PyTorch, TensorFlow, OpenCV, and ROS.\nHands-on experience with real-world robotics perception systems (e.g., SLAM, 3D reconstruction, multimodal perception).\nExperience working with hardware, including setting up and calibrating cameras, LiDAR, and other sensors.\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:\nDeveloping models that can handle noisy, incomplete, or sparse data.\nDeployment of ML models to edge devices for real-time inference (e.g., NVIDIA Jetson).\nAccelerating ML training processes using GPU, TPU, or other HW accelerators.\nGeneral knowledge of robotics principles, including kinematics, dynamics, and control.","company":"Maven Robotics","rawCompany":"maven robotics","city":"Alameda","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-05T12:13:06.374Z","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":"541330","title":"Engineering Services","slug":"engineering-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer - Robot Perception","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 Perception to design, implement, test, and deploy robot perception algorithms that power our robots’ ability to understand and interact with the world.\nIn this role you will:\nDevelop, train, and deploy ML-based perception algorithms for object detection, pose estimation, tracking, and scene understanding.\nIntegrate sensor fusion techniques using cameras, depth sensors, IMUs, and tactile feedback.\nOptimize real-time perception pipelines for low-latency and robust performance in dynamic environments.\nWork closely with hardware engineers to design sensor configurations and optimize perception models for onboard deployment.\nContribute to our broader AI and autonomy stack, ensuring seamless integration with reasoning, manipulation, planning and control.\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 background in computer vision, deep learning, and sensor fusion.\nProficiency in Python and C++, with experience in frameworks like PyTorch, TensorFlow, OpenCV, and ROS.\nHands-on experience with real-world robotics perception systems (e.g., SLAM, 3D reconstruction, multimodal perception).\nExperience working with hardware, including setting up and calibrating cameras, LiDAR, and other sensors.\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:\nDeveloping models that can handle noisy, incomplete, or sparse data.\nDeployment of ML models to edge devices for real-time inference (e.g., NVIDIA Jetson).\nAccelerating ML training processes using GPU, TPU, or other HW accelerators.\nGeneral knowledge of robotics principles, including kinematics, dynamics, and control.","datePosted":"2026-08-05T12:13:06.374Z","dateModified":"2026-08-05T12:13:06.374Z","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":"408db38e2bea37ed98d34587"},"url":"https://jobsearcher.com/jobs/408db38e2bea37ed98d34587"}}