Machine Learning Intern, Perception (End-to-end)

Responsibilities

• Support the design and implementation of end-to-end or perception-to-planning models for autonomous driving
• Analyze multi-modal sensor data (e.g., images, video, lidar, radar) to improve model performance and robustness
• Conduct experiments to evaluate and benchmark different model designs
• Collaborate with cross-functional teams to integrate model outputs into downstream decision-making systems
• Document experiments, model designs, and results in clear and reproducible formats
• Required Skills:
• Currently pursuing a Master's or PhD degree in Computer Science, Machine Learning, Robotics, or a related field
• Proficient in Python and/or C++
• Coursework or project experience in computer vision and machine learning
• Familiarity with deep learning frameworks such as PyTorch or TensorFlow
• Experience working with structured or unstructured sensor data (e.g., images, video, point clouds)
• Preferred Skills:
• Experience with autonomous driving, robotics, or learning-based planning
• Exposure to end-to-end models, trajectory prediction, or action/behavior modeling
• Experience with 3D perception, point cloud processing, or multi-sensor fusion
• Familiarity with evaluation frameworks and datasets for autonomous systems
• Project or internship experience involving foundation models (e.g., VLM, VLA) or perception-to-action pipelines
• Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.
• Our journey is always people first.
• Higher purpose, greater impact.
• Scale up, not starting up.

Benefits

Additional Information

Mission Summary: The Perception Intern will support the development and evaluation of end-to-end models for autonomous driving, building on existing perception systems to enable planning and decision-making. This role involves working with multi-modal sensor data, computer vision models, and learning-based planning approaches to extend perception outputs into downstream driving tasks. The internship will take place in our Singapore office and we expect a full-time internship period of at least 5 months . We offer flexible working hours and allow for remote work. The candidate will however have to live in Singapore for the duration of the internship.

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