Machine Learning Engineer - Robot Perception

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 Perception** to design, implement, test, and deploy robot perception algorithms that power our robots’ ability to understand and interact with the world. In this role you will: - Develop, train, and deploy ML-based perception algorithms for object detection, pose estimation, tracking, and scene understanding. - Integrate sensor fusion techniques using cameras, depth sensors, IMUs, and tactile feedback. - Optimize real-time perception pipelines for low-latency and robust performance in dynamic environments. - Work closely with hardware engineers to design sensor configurations and optimize perception models for onboard deployment. - Contribute to our broader AI and autonomy stack, ensuring seamless integration with reasoning, manipulation, planning and control. - 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 background in computer vision, deep learning, and sensor fusion. - Proficiency in Python and C++, with experience in frameworks like PyTorch, TensorFlow, OpenCV, and ROS. - Hands-on experience with real-world robotics perception systems (e.g., SLAM, 3D reconstruction, multimodal perception). - Experience working with hardware, including setting up and calibrating cameras, LiDAR, and other sensors. - 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: - Developing models that can handle noisy, incomplete, or sparse data. - Deployment of ML models to edge devices for real-time inference (e.g., NVIDIA Jetson). - Accelerating ML training processes using GPU, TPU, or other HW accelerators. - General knowledge of robotics principles, including kinematics, dynamics, and control.