2027 Summer Intern, PhD, Research Scientist, Visual Reasoning

You will

• Research and develop novel visual and spatio-temporal reasoning methods for multimodal Perception Foundation Models using AV sensor data
• Design and implement post-training recipes-including Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL)-to improve perception generalization in long-tail autonomous driving scenarios
• Conduct large-scale experiments and ablation studies on autonomous driving benchmarks, with the opportunity to publish findings at top-tier AI/CV conferences (e.g., CVPR/ICCV/ECCV/NeurIPS/ICLR/ICML)

You have

• Currently pursuing a PhD in Computer Science, Machine Learning, Robotics, Electrical Engineering or a related technical field
• Hands-on experience & strong publications in perception, and/or LLM/VLM
• Knowledge of pre-training and post-training of the large foundation models
• Strong Python coding skills with expertise in modern deep learning frameworks (e.g., PyTorch, JAX, TensorFlow)

We prefer

• Experience with visual reasoning for LLM/VLM/robotics/driving
• Experience with RL training in LLM/VLM/robotics
• Experience with open-vocabulary perception

Additional information

Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.

Pay and benefits

The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements.

Hourly PhD Pay $85 - $85 USD