Research Intern - Deep Learning

What you'll do

• Design and develop foundation models trained on real-world data, translating open-ended problems into machine-learning tasks and scalable data pipelines.
• Develop and deploy deep learning models, including vision-language and large language models, and multimodal perception models.
• Optimize models for robust real-time operation under vehicle runtime constraints.

What they ask for

• Currently pursuing a master's or PhD in Computer Science, Machine Learning, Robotics, or a similar field.
• Strong deep learning background, including model design, training, and evaluation.
• Experience with deep learning research and tools, and large-scale datasets, preprocessing, and pipeline management.
• Proficiency in Python and C++ software design and development.

Nice to have

• Publications at top-tier conferences such as CVPR, ICCV, ECCV, ICLR, ICML, NeurIPS, or AAAI.
• Experience in ML/DL for behavior prediction, imitation learning, motion planning, or real-time deployment; experience with GPU/CUDA/TensorRT is also preferred.

Pay

$7000/month (Master); $10,000/month (PhD)

Tools

Python, C++, GPU/CUDA/TensorRT

AI focus

Develop and deploy deep learning foundation models, including VLMs and LLMs, for autonomous-driving perception, scene understanding, tracking, prediction, and other vehicle tasks.