2027 Summer Intern – AI/ML Engineer, Autonomous Vehicles: Simulation (PhD)
Core
PhD intern advancing reliable AI/ML capabilities for autonomous vehicles by translating deep research into validated, production-oriented systems.
Role type
PhD AI/ML Engineering Intern (Autonomous Vehicles)
Builds
Perception, prediction, planning, decision-making, embodied AI, simulation, sensor understanding, mapping, and large-scale model development systems.
Domain
Autonomous Vehicles / Machine Learning
Deliverable
production ML models
Required skills
Modern machine learning and deep learning methods, Python, ML frameworks (PyTorch, TensorFlow, JAX), quantitative problem-solving, software development fundamentals
Preferred skills
Autonomous vehicles/ADAS/robotics research, foundation models/transformers/generative models, multimodal learning (camera/lidar/radar), reinforcement learning, distributed/parallel computing, C++ systems programming, GPU programming/CUDA, numerical optimization
Technologies
PyTorch, TensorFlow, JAX, CUDA, C++, Python
Responsibilities
Research and prototype advanced ML methods for perception, prediction, planning, or decision-making; Design, train, evaluate, and improve models using large-scale multimodal driving and sensor data; Build data pipelines, experimentation workflows, and evaluation tools; Validate models through simulation, testing, performance analysis, and failure-case investigation; Optimize models and systems for scalability, latency, reliability, and deployment constraints; Collaborate with engineering and research partners to integrate prototypes into autonomous vehicle systems
Seniority
PhD Candidate, Research & Engineering