2027 Summer Intern – AI/ML Engineer, Autonomous Vehicles: Simulation (PhD)

What you'll do

• Prototype, train, evaluate, and improve models for autonomous-vehicle tasks, and build supporting data and experimentation workflows.
• Validate and optimize models through simulation, testing, performance analysis, and failure-case investigation.
• Collaborate on integrating prototypes into AV systems, and document and present findings or research outputs.

What they ask for

• Currently enrolled full-time in a PhD program in a related STEM field, with at least one additional quarter/semester remaining after the internship.
• Demonstrated depth of AI/ML research and strong understanding of modern machine learning and deep learning.
• Proficiency in Python and hands-on experience with an ML framework such as PyTorch, TensorFlow, or JAX.
• Experience designing experiments and analyzing results; strong programming fundamentals and availability to work 40 hours per week.

Nice to have

• Research in autonomous vehicles, ADAS, robotics, computer vision, or embodied AI; relevant knowledge of models, multimodal learning, or reinforcement learning.
• Experience with large-scale or distributed training, simulation validation, systems programming, GPU optimization, or AV planning and perception.

Pay

$12,300-$14,600 per month (base salary)

Tools

Python, PyTorch, TensorFlow, JAX, C++, CUDA

AI focus

Research and prototype AI/ML for autonomous-vehicle perception, prediction, planning, decision-making, and related areas; train, validate, and optimize models using multimodal driving and sensor data and simulation.