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Research Intern, Frontier Agents (Winter 2027)

Together AI · Research

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Where
San Francisco
Posted
5 days ago

The Agents team investigates how to build, align, and scale frontier AI systems that can tackle complex, multi-step tasks and workflows across text and speech, with a particular focus on agentic and scientific domains. Our work sits at the intersection of agent capabilities, human-computer interaction, and infrastructure—from designing post-training methods for agentic behavior to developing evaluation frameworks for open-ended tasks where traditional metrics fall short.

As a research intern, you will work on problems at the frontier of agentic AI, where challenges in alignment, reliability, and scalability are deeply intertwined.

What you'd do

  • Research and implement novel techniques in one or more of our focus areas
  • Design and conduct rigorous experiments to validate hypotheses
  • Document findings in scientific publications and blog posts
  • Communicate the plans, progress, and results of projects to the broader team
  • Training, developing, and evaluating frontier models, especially in the domain of agentic tasks and workflows
  • Designing and curating datasets for frontier agents alignment and post-training
  • Studying failure modes and developing safety paradigms for agentic behavior
  • Research new recipes (for RL or test time scaling) for self-learning and long-context tasks completion
  • Building agents that act on spoken input to carry out complex, multi-step tasks
  • Developing ML infrastructure that can power agent operations at scale

What they want

  • Currently pursuing a Ph.D. degree in Computer Science, Electrical Engineering, Information Science, or a related field
  • Publications at leading ML, NLP, or speech conferences or journals (such as NeurIPS, ICML, ICLR, *ACL, EMNLP, Interspeech)
  • Strong knowledge of Machine Learning and Deep Learning fundamentals
  • Experience with deep learning frameworks (PyTorch, JAX, etc.)
  • Understanding of how LLMs work
  • Strong programming skills in Python
  • Familiarity with Transformer architectures and recent developments in foundation models