2027 Summer Intern, AI Research, Embodied AI (PhD)

What you'll do

• Formulate research problems, develop prototypes, and design and run experiments for autonomous driving applications.
• Train and benchmark models; analyze behavior, failure cases, generalization, and performance tradeoffs.
• Collaborate with research and engineering teams and present or document findings.

What they ask for

• Currently pursuing or in the process of obtaining a Ph.D. in Machine Learning, Artificial Intelligence, Computer Science, Robotics, or a related technical field.
• Strong understanding of modern machine learning and deep learning methods; demonstrated AI/ML research experience.
• Proficiency in Python and experience with PyTorch, TensorFlow, JAX, or another machine learning framework.
• Available to work full-time, 40 hours per week, and must be graduating between December 2027 and June 2028.

Nice to have

• Experience with generative or multimodal learning, reinforcement or imitation learning, world models, or temporal modeling.
• Familiarity with autonomous vehicles, robotics, or embodied AI; experience with large-scale datasets or distributed training.

Pay

$14,600 per month (salary; range stated as a single amount)

Tools

Python, PyTorch, TensorFlow, JAX, C++

AI focus

Applied embodied AI research for autonomous driving, including foundation models, vision-language-action systems, generative and world models, learning for planning and control, and multimodal and temporal learning.