Research Intern - Deep Learning
Core
Designing and developing large-scale foundation models and deep learning systems for autonomous driving perception, planning, and control.
Role type
Research Intern - Deep Learning
Builds
Foundation models, perception models (3D detection, tracking, segmentation), and trajectory prediction systems for self-driving vehicles.
Domain
Autonomous driving / Robotics / Computer Vision
Deliverable
production ML models
Required skills
Deep learning model design and training, Python, C++, large-scale data pipeline management, reinforcement learning, imitation learning
Preferred skills
Top-tier conference publications (CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS), behavior prediction, motion planning, convex optimization, computational geometry, GPU/CUDA/TensorRT deployment
Technologies
Python, C++, CUDA, TensorRT, VLMs, LLMs
Responsibilities
Frame open-ended real-world problems into well-defined ML problems, develop and deploy deep learning models including vision language models, optimize models for real-time run-time constraints
Seniority
Intern
