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

What you'll do

• Formulate research problems, build prototypes, and design experiments and evaluations for autonomous driving applications.
• Train and benchmark models on large-scale datasets; analyze model behavior, failures, generalization, and performance tradeoffs.
• Collaborate with research and engineering teams and document or present findings.

What they ask for

• Currently pursuing or in the process of obtaining a master's degree in Machine Learning, Artificial Intelligence, Computer Science, Robotics, or a related technical field.
• Strong understanding of modern machine learning and deep learning methods.
• Proficiency in Python and experience with PyTorch, TensorFlow, JAX, or another machine-learning framework.
• Demonstrated AI/ML research experience through coursework, academic projects, publications, or comparable work.

Nice to have

• Experience with transformers, large language models, vision-language(-action) models, diffusion models, or other generative architectures.
• Experience with reinforcement learning, imitation learning, self-supervised learning, world models, multimodal learning, or temporal modeling.

Pay

$11,800 per month (base salary)

Tools

Python, PyTorch, TensorFlow, JAX, C++

AI focus

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