Machine Learning Research Prediction and Planning Intern - Spring 2027 - Santa Clara, CA
Core
Develop scene reconstruction technologies for autonomous driving by converting multimodal sensor data into structured scene representations for simulation and ML.
Role type
Research intern (autonomous driving perception)
Builds
Structured scene representations for simulation, machine learning, and large-scale data generation
Domain
Autonomous driving, computer vision, robotics
Deliverable
research
Required skills
Python, C++, computer vision, machine learning, robotics, sensor data processing, ROS
Preferred skills
Neural scene representations, Gaussian Splatting, simulation environments, multimodal sensor data (cameras, lidar), end-to-end driving models, VLA models
Responsibilities
Develop software pipelines for processing large-scale autonomous vehicle datasets, Fuse and synchronize data from cameras, localization systems, and vehicle-state measurements, Reconstruct road geometry, ego vehicle motion, and dynamic traffic participants, Design scene representations suitable for simulation and training workflows, Develop tools and metrics to assess reconstruction quality, Collaborate with researchers across perception, mapping, prediction, and planning teams
