RRemoteville
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ML Research Engineer

Skills
Computer ScienceArt ResearchArtificial IntelligenceBenchmarkingEasily AdaptableLarge Language ModelsMachine Learning
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Deep domain knowledge in LLM safety techniques
  • Extensive experience in designing, training, and implementing multiple different types of LLM models and architectures in the real world
  • Comfortability with leading end-to-end projects
  • Adaptability and flexibility. In both the academic and startup world, a new finding in the community may necessitate an abrupt shift in focus. You must be able to learn, implement, and extend state-of-the-art research
  • Preferred: past research or projects in either attacking or defending LLMs

Nice to have

  • Deep domain knowledge in LLM safety
  • Extensive experience with LLM models
  • Experience leading end-to-end projects
  • Adaptability and flexibility

Day to day

  • Own an LLM vertical with a focus on a specific safety domain, technique, or use case (either from defense or red-team attack perspective)
  • Generate high quality synthetic data, train LLMs, and conduct rigorous benchmarking
  • Deliver robust, scalable, and reproducible production code
  • Push the envelope by developing novel techniques and research that deliver the world’s most harmless and helpful models
  • Co-author papers, patents, and presentations with our research team by integrating other members’ work with your vertical