Research Intern, Frontier Agents (Winter 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 focuses on building, aligning, and scaling advanced AI systems capable of handling complex, multi-step tasks and workflows across text and speech, particularly in 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 contribute to cutting-edge agentic AI challenges, addressing issues of alignment, reliability, and scalability. Projects may involve developing new training techniques for self-learning and long-horizon reasoning, curating datasets for scientific and agentic tasks, analyzing agentic behavior failure modes, or building scalable 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