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ANAnthropic

Research Engineer, Production Model Post Training(m/w/x)

Zürich
Full-timeWith Home OfficeExperienced
AI/ML
Data Science

Optimizing large-scale AI models for reliability and interpretability at an AI systems developer focused on safety. Strong software engineering and ML skills, plus large-scale distributed systems experience required. Optional equity donation matching, generous vacation and parental leave.

Requirements

  • Ability to juggle multiple urgent priorities
  • Quick adaptation to changing priorities
  • Clarity in debugging complex issues
  • Strong software engineering and ML skills
  • Experience with large-scale distributed systems
  • Experience training or fine-tuning LLMs
  • Balance of research and engineering rigor
  • Adeptness at analyzing model training
  • Enjoyment of cross-disciplinary collaboration
  • Ability to navigate research ambiguity
  • Experience with LLMs
  • Interest in AI safety
  • Proficiency in Python and deep learning
  • Bachelor's degree or equivalent experience

Tasks

  • Implement and optimize large-scale post-training techniques
  • Develop post-training recipes to improve model quality
  • Design and run efficient fine-tuning pipelines
  • Build tools to measure model performance dimensions
  • Translate emerging research into production-ready implementations
  • Debug complex training pipeline and model issues
  • Establish best practices for reproducible model training

Work Experience

  • approx. 1 - 4 years

Education

  • Bachelor's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • deep learning frameworks
  • distributed computing
  • large language models

Benefits

Social Impact

  • Optional equity donation matching

More Vacation Days

  • Generous vacation

Generous Parental Leave

  • Generous parental leave

Flexible Working

  • Flexible working hours

Modern Office

  • Lovely office space
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