AI Research Intern - Foundation Models & Multimodal Intelligence
Core
Researching and developing post-training capabilities for multimodal foundation models to enable agentic applications and autonomous systems.
Role type
Research intern (PhD level)
Builds
Novel research suitable for publication at top-tier conferences
Domain
AI Research, Foundation Models, Multimodal Intelligence
Deliverable
research
Required skills
Machine Learning, Computer Vision, Natural Language Processing, Python, Deep Learning Frameworks (PyTorch, JAX, TensorFlow), Supervised Fine-Tuning, Reinforcement Learning
Preferred skills
Publication record in top-tier conferences (NeurIPS, ICML, ICLR, CVPR), Foundation Model experience, Post-training optimization (SFT/RL)
Technologies
PyTorch, JAX, TensorFlow
Responsibilities
Research and develop methods to improve model understanding, reasoning, and interaction in complex environments; Design evaluation frameworks for agent performance; Experiment with training strategies for multimodal perception and autonomous behaviors; Stay current with emerging research in foundation model agents.
Seniority
Intern, PhD candidate
