2027 Summer Intern – AI/ML Engineer, Autonomous Vehicles: Simulation (PhD)
Core
PhD AI/ML Engineering Intern advancing reliable AI/ML capabilities by translating deep research into validated, production-oriented systems for autonomous vehicles.
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 / Robotics
Deliverable
production ML models
Required skills
Deep learning methods, Python, PyTorch/TensorFlow/JAX, experiment design, quantitative problem-solving, software development fundamentals
Preferred skills
Foundation models, transformers, generative/diffusion models, multimodal learning, self-supervised/imitation/reinforcement learning, distributed computing, C++, GPU programming/CUDA, numerical optimization
Technologies
PyTorch, TensorFlow, JAX, CUDA, GPU
Responsibilities
Research and prototype advanced ML methods; 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; Document findings, present technical insights, and contribute to publications or other research outputs.
Seniority
PhD Student, Research & Engineering
