Research Intern, Frontier Agents (Summer 2027)
Remote • San Francisco
Posted 24d ago
Job Location
San Francisco
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Research Engineer
About the job
The Agents team investigates how to build, align, and scale frontier AI systems capable of complex, multi-step tasks across text and speech, focusing on agentic and scientific domains. This role sits at the intersection of agent capabilities, human-computer interaction, and infrastructure, exploring areas like post-training methods for agentic behavior and evaluation frameworks for open-ended tasks. As a research intern, you will tackle challenges in alignment, reliability, and scalability, potentially working on new training recipes for self-learning, curating datasets for non-deterministic tasks, studying agentic behavior failure modes, or building large-scale agent operation infrastructure.
Responsibilities
- Research and implement novel techniques in agentic AI.
- Design and conduct experiments to validate hypotheses.
- Document research findings in publications and blog posts.
- Communicate project plans, progress, and results to the team.
Requirements
- Currently pursuing a Ph.D. in Computer Science, Electrical Engineering, Information Science, or a related field.
- Publications at leading ML, NLP, or speech conferences/journals.
- Strong knowledge of Machine Learning and Deep Learning fundamentals.
- Experience with deep learning frameworks like PyTorch or JAX.
- Understanding of how Large Language Models (LLMs) function.
- Strong programming skills in Python.
- Familiarity with Transformer architectures and recent foundation model developments.
Benefits
- Competitive compensation
- Housing stipends
- Other competitive benefits