Machine Learning Engineer - Robot Perception

About the Company

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.

Responsibilities

• 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 the broader AI and autonomy stack, ensuring seamless integration with reasoning, manipulation, planning and control
• Collaborate across disciplines and provide technical mentorship to junior engineers

Requirements

• 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++
• Experience with 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 for training ML models

Preferred Qualifications

• Familiarity with robotic simulation environments like Gazebo or MuJoCo
• Experience in sim-to-real transfer
• Experience deploying ML models to edge devices (e.g., NVIDIA Jetson)
• Experience accelerating ML training using GPU or TPU
• General knowledge of robotics principles including kinematics, dynamics, and control