Frontier Agents Intern (Fall 2026)

About the role#

The Agents team focuses on building, aligning, and scaling frontier AI systems capable of executing complex, multi-step tasks across text and speech. This role sits at the intersection of agent capabilities, human-computer interaction, and infrastructure. You will work on challenges related to alignment, reliability, and scalability, with potential projects involving post-training methods for agentic behavior, evaluation frameworks for open-ended tasks, and infrastructure for agent operations at scale.

What you'll do#

• Research and implement novel techniques in focus areas such as agentic workflows and scientific domains.
• Design and conduct rigorous experiments to validate hypotheses.
• Document findings in scientific publications and blog posts.
• Communicate project plans, progress, and results to the broader team.
• Contribute to research directions including RL recipes for self-learning, long-context task completion, and safety paradigms for agentic behavior.

What you'll need#

• Currently pursuing a Masters or Ph.D. degree in Computer Science, Electrical Engineering, Information Science, or a related field.
• Publications at leading ML, NLP, or speech conferences or journals.
• Strong knowledge of Machine Learning and Deep Learning fundamentals.
• Experience with deep learning frameworks such as PyTorch or JAX.
• Strong programming skills in Python.
• Understanding of LLMs, Transformer architectures, and recent developments in foundation models.

Location & details#

• Location: San Francisco, California
• Term: Fall 2026 (September 14th to December 18th)
• Duration: 12 to 16 weeks
• Modality: On-site
• Employment: Full-time
• Compensation: Paid ($58 - $63 per hour)