2027 Summer Intern, PhD, Machine Learning, Computer Vision

What you'll do

• Analyze internal feature representations of deep multimodal perception foundation models and inspect them for data-quality signals.
• Validate and improve model performance using large-scale autonomous vehicle sensor datasets and simulation environments.
• Train, fine-tune, and evaluate neural networks; implement or augment data pipelines to improve data quality.

What they ask for

• Currently enrolled in a PhD program in Computer Science, Robotics, Electrical Engineering, or a related technical field.
• Programming experience in Python.
• Practical experience training, fine-tuning, and evaluating deep learning models for computer vision or multimodal perception, such as with PyTorch, JAX, or TensorFlow.
• Solid understanding of modern neural architectures, such as Vision Transformers and multimodal sensor encoders.

Nice to have

• Research experience or publications in multimodal deep learning or vision foundation models.
• Hands-on experience with multi-camera and/or 3D LiDAR perception systems in robotics or autonomous driving; experience evaluating large-scale perception systems in practical settings.

Pay

$85 — $85 USD per hour (hourly pay)

Tools

Python, PyTorch, JAX, TensorFlow, Vision Transformers, multi modal sensor encoders, 3D LiDAR

AI focus

Develop and evaluate deep multimodal perception foundation models for autonomous driving, and use them to assess data quality.