Frontier Agents Intern (Fall 2026)
Remote • San Francisco
Posted 1mo ago
Job Location
San Francisco
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Agent Engineer
About the job
The Agents team investigates how to build, align, and scale frontier AI systems capable of complex, multi-step tasks and workflows across text and speech, with a focus 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 developing 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 and long-horizon reasoning, curating datasets, studying failure modes, or building scalable agent infrastructure.
Responsibilities
- Research and implement novel techniques in agentic AI.
- Design and conduct experiments to validate hypotheses.
- Document findings in publications and blog posts.
- Communicate project plans, progress, and results to the team.
Requirements
- Currently pursuing a Masters or 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 LLMs work.
- Strong programming skills in Python.
- Familiarity with Transformer architectures and foundation models.
Benefits
- Competitive compensation
- Housing stipends
- Other competitive benefits