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Research Intern (Frontier Agents, Winter 2027)

Together AI

Skills

Required

  • Machine Learning
  • Deep Learning
  • deep learning frameworks
  • PyTorch
  • JAX
  • programming
  • Python
  • Transformer architectures

Preferred

  • ML
  • NLP
  • NeurIPS
  • ICML
  • ICLR
  • ACL
  • EMNLP
  • Interspeech
  • agentic AI

Join the Agents team as a Research Intern, where you'll work on cutting-edge problems in agentic AI. Your projects may involve developing new training methods, curating datasets, studying failure modes, or building infrastructure for agent operations. You'll conduct rigorous experiments, document findings, and communicate progress to the team. This internship offers a unique opportunity to push the boundaries of AI agents and gain valuable experience in the field.

Responsibilities

  • Research and implement novel techniques in one or more focus areas related to agentic AI.
  • Design and conduct rigorous experiments to validate hypotheses, and document findings in scientific publications.
  • Communicate the plans, progress, and results of projects to the broader team, and collaborate with industry-leading engineers and researchers.
  • Understanding of how LLMs work

Requirements

  • Experience with deep learning frameworks (PyTorch, JAX, etc.)

Strong programming skills in Python

  • Currently pursuing a Ph.D. degree in Computer Science, Electrical Engineering, Information Science, or a related field
  • Familiarity with Transformer architectures and recent developments in foundation models
  • Strong knowledge of Machine Learning and Deep Learning fundamentals

Preferred

  • Publications at leading ML, NLP, or speech conferences or journals (such as NeurIPS, ICML, ICLR, *ACL, EMNLP, Interspeech)