Research Engineer, Societal Impacts

Anthropic creates reliable, interpretable, and steerable AI systems, focusing on safe and beneficial AI development.
$315,000 - $425,000
Machine Learning
Mid-Level Software Engineer
Hybrid
501 - 1,000 Employees
3+ years of experience
AI

Description For Research Engineer, Societal Impacts

Anthropic is seeking a Research Engineer to join their Societal Impacts team in San Francisco. This role combines technical infrastructure development with critical research into AI's societal impact. The position involves designing and implementing scalable systems that enable researchers to evaluate AI systems effectively while maintaining high engineering standards.

The ideal candidate will work at the intersection of technical implementation and social impact research, building tools that help understand how AI systems affect people and society. They'll need to balance practical engineering challenges with the broader mission of ensuring AI development remains safe and beneficial. The role requires strong Python programming skills, experience with distributed systems, and the ability to work effectively with machine learning models.

Working in Anthropic's collaborative environment, you'll interact with researchers, policy experts, and other cross-functional teams to advance the company's safety mission. The position offers competitive compensation ($315,000-$425,000), comprehensive benefits, and the opportunity to work on meaningful problems in AI safety. The role requires 25% in-office presence in San Francisco, with visa sponsorship available for qualified candidates.

This is an opportunity to contribute to cutting-edge AI research while building infrastructure that helps ensure AI systems are developed responsibly. You'll be part of a team that values empirical science, collaboration, and direct impact on making AI systems more reliable and beneficial for society.

Last updated an hour ago

Responsibilities For Research Engineer, Societal Impacts

  • Design and implement scalable technical infrastructure for research experiments
  • Architect systems that handle uncertain requirements while maintaining reliability
  • Lead technical design discussions
  • Partner with researchers, data scientists, and policy experts
  • Improve internal technical infrastructure and tools
  • Generate insights about societal impact of AI systems
  • Translate insights to inform strategy, research, and public policy

Requirements For Research Engineer, Societal Impacts

Python
  • Experience building and maintaining production-grade internal tools
  • Strong Python programming skills with clean, well-documented code
  • Comfortable making technical decisions with incomplete information
  • Experience with distributed systems
  • Track record of working with machine learning models
  • Experience deriving insights from imperfect data
  • Bachelor's degree in related field or equivalent experience

Benefits For Research Engineer, Societal Impacts

Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
Visa Sponsorship
  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Office space in San Francisco
  • Visa sponsorship available

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