2027 Summer Intern, PhD, Research Scientist, Visual Reasoning

What you'll do

• Develop visual and spatio-temporal reasoning methods for multimodal perception foundation models.
• Design and implement supervised fine-tuning and reinforcement-learning post-training recipes for long-tail driving scenarios.
• Run large-scale benchmark experiments and ablation studies, with an opportunity to publish findings.

What they ask for

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

Nice to have

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

Pay

$85 — $85 USD (hourly pay)

Tools

Python, PyTorch, JAX, TensorFlow, Supervised Fine-Tuning (SFT), Reinforcement Learning (RL), LLM/VLM

AI focus

Research on multimodal perception foundation models, visual and spatio-temporal reasoning, and post-training for generalization in long-tail autonomous-driving scenarios.