Berkeley ML Postdoc: Lead MoE & LLM Research

The Allen Institute for AI

Berkeley (CA)

On-site

USD 136,000 - 184,000

Full time

14 days+

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Benefits offered by this job

Visa sponsorship available

Job summary

The Allen Institute for AI (Ai2) seeks a talented Postdoctoral Young Investigator to join the FlexOlmo team in Berkeley, CA, working on MoE architectures, long-context language models, and retrieval. This 1–3 year position offers a unique opportunity to define and lead high-impact research projects while contributing to open-source software and publications.

Ideal candidates will be within one year of completing their PhD or already holding one, with a strong publication record and deep learning

Qualifications

  • PhD near completion or already has a PhD in CS or related field.
  • Strong publication record at AI/ML venues (e.g., NeurIPS, ICML, ACL).
  • Experience with MoE, long-context LLMs, and retrieval is preferred but not required.
  • Ability to lead high-impact research projects and collaborate across teams.

Responsibilities

  • Define and lead a high-impact research project.
  • Train and release leading models.
  • Collaborate with and learn from Ai2 team members.
  • Build open-source software for the research community.
  • Publish scientific papers in top conferences or journals.

Skills

Deep learning (PyTorch)
Publication track record
MoE / LLMs experience
Retrieval systems knowledge

Education

PhD in Computer Science or related field

Tools

PyTorch
MoE architectures
Large language models

Job description

The Allen Institute for AI (Ai2) seeks a talented Postdoctoral Young Investigator to join the FlexOlmo team in Berkeley, CA, working on MoE architectures, long-context language models, and retrieval. This 1–3 year position offers a unique opportunity to define and lead high-impact research projects while contributing to open-source software and publications.

Ideal candidates will be within one year of completing their PhD or already holding one, with a strong publication record and deep learning

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