PhD Intern: Seed LLM Post-Training & Agent RL Research

ByteDance

San Jose (CA)

Hybrid

USD 97.000 - 138.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Health insurance
Life insurance
Wellbeing benefits
10 paid holidays per year
Housing allowance

Zusammenfassung

ByteDance's Seed team is seeking PhD interns to contribute to post-training research for unified multimodal large models. You will explore SFT, RM, RL, and self-learning, while optimizing reasoning and coding capabilities.

This internship blends hands-on learning with community-building, professional development, and collaboration with industry experts. Applications are reviewed on a rolling basis; clearly state your availability in your resume.

Qualifikationen

  • Pursuing a PhD in Computer Science, AI, or related field.
  • Research experience in reinforcement learning, sequential decision-making, or agent behavior.
  • First-author publications in accredited ML/AI conferences (e.g., NeurIPS, ICLR, ICML).
  • Strong programming and experimentation skills, including with RL or LLM frameworks.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Aufgaben

  • Explore large-scale models and optimize systems.
  • Data construction, instruction tuning, preference alignment, and model optimization.
  • Improving relevant model capabilities, such as reasoning, code, math etc.
  • In-depth research and exploration of future use cases

Kenntnisse

Reinforcement learning
Sequential decision-making
Agent behavior
Publications (ML/AI conferences)
Programming & experimentation (RL/LLM)

Ausbildung

PhD in Computer Science, AI, or related field

Jobbeschreibung

ByteDance's Seed team is seeking PhD interns to contribute to post-training research for unified multimodal large models. You will explore SFT, RM, RL, and self-learning, while optimizing reasoning and coding capabilities.

This internship blends hands-on learning with community-building, professional development, and collaboration with industry experts. Applications are reviewed on a rolling basis; clearly state your availability in your resume.

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