Machine Learning Engineering Intern at Bonsai Robotics in San Jose, CA

Summary: Bonsai Robotics develops affordable, vision-based autonomy that makes off-road equipment smarter, safer, and more productive. They are seeking an ML Engineering Intern to support their perception and learned-behavior teams, working on real problems with real data from machines operating in the field. Responsibilities: - Building auto-labeling pipelines to scale our training data - Developing generative simulation environments for model evaluation - Optimizing model inference for edge deployment (NVIDIA Jetson) - Supporting BEV (bird's-eye-view) perception or VLA model training and evaluation Required Qualifications: - Pursuing a BS, MS, or PhD in CS, EE, Robotics, or a related field - Solid fundamentals in deep learning and computer vision (coursework or projects) - Proficiency in Python and PyTorch (or similar frameworks) - Comfortable writing clean, functional code—not just notebooks - Eager to learn, self-directed, and excited about robotics Preferred Qualifications: - Experience with 3D vision, LiDAR processing, or sensor fusion - Familiarity with model optimization (TensorRT, ONNX) or edge deployment - Exposure to generative models, simulation, or synthetic data - Experience with ROS2 or robotics middleware Required Skills: Deep learning, Computer vision, Python, PyTorch Important Skills: Model optimization, 3D vision, LiDAR processing, Sensor fusion Nice-to-Have Skills: Eager to learn, Self-directed, Robotics