Research Engineer, Production Model Post-training

Anthropic

Zürich, Switzerland
On-site
Implement and optimize post-training techniques
Research and develop post-training recipes
Design and build robust pipelines
Anthropic's mission is to create reliable, interpretable, and steerable AI systems, aiming for AI to be safe and beneficial for users and society

Job Summary

  • Anthropic's mission is to create reliable, interpretable, and steerable AI systems, aiming for AI to be safe and beneficial for users and society.
  • Responsibilities include implementing and optimizing post-training techniques at scale, conducting research to improve model quality, and designing robust pipelines for fine-tuning and evaluation.
  • The company values impact and views AI research as an empirical science, fostering a collaborative environment with frequent research discussions.

Matching Summary

Anthropic's mission is to create reliable, interpretable, and steerable AI systems, aiming for AI to be safe and beneficial for users and society.

Skills & Requirements

Must-have

  • implement and optimize post-training techniques
  • research and develop post-training recipes
  • design and build robust pipelines
  • develop tools for model performance
  • debug complex training issues
  • Python proficiency
  • large-scale distributed systems

Nice-to-have

  • thrive in controlled chaos
  • adapt quickly to changing priorities
  • maintain clarity debugging complex issues
  • balance research exploration with rigor
  • navigate ambiguity in research environments
  • keen interest in AI safety

Key Requirements

  • Bachelor’s degree or equivalent experience
  • Field relevant to role
  • Proficiency in Python
  • Deep learning frameworks experience
  • Distributed computing experience

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter