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Machine Learning Engineering Intern
- San Jose, Arizona, United States
- San Jose, Arizona, United States
Über
About the role We're looking for an ML Engineering Intern to support our perception and learned-behavior teams. You'll work on real problems with real data from machines operating in the field—not toy datasets. Depending on your interests and our team's priorities, you might work on projects like:
Building auto-labeling pipelines to scale our training data
Optimizing model inference for edge deployment (NVIDIA Jetson)
Supporting BEV (bird's-eye-view) perception or VLA model training and evaluation
This is a hands‑on role where you'll ship code that impacts our autonomy stack.
What you'll do
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
Bonus
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
Why Bonsai You'll work alongside experienced ML and robotics engineers on models that drive real machines in real fields. If you want an internship where your work hits production—not a slide deck, we'd love to hear from you.
Bonsai Robotics is an Equal Employment Opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, national origin, ancestry, age, disability, gender identity or expression, marital status, or any other legally protected status.
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Sprachkenntnisse
- English
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