Center for AI Safety

Center for AI Safety

Research Engineer

San Francisco, CA

Sponsorship not specified$140k-$200kDetected 1384 days ago
Machine LearningPyTorchNLPLLMsResearch

About the role

  • The Center for AI Safety (CAIS) is a leading research and advocacy organization focused on mitigating societal-scale risks from AI.
  • As a Research Engineer here, you'll work at the intersection of cutting-edge ML research and reliable engineering.
  • The work spans areas like AI honesty, robustness, transparency, and trojan/backdoor behaviors, aimed at reducing real-world risks from advanced AI systems.

Responsibilities

  • Own end-to-end research experiments.
  • Build and maintain datasets and benchmarks.
  • Collaborate with researchers and external partners while contributing to shared research direction and responding quickly in research cycles.
  • Support research infrastructure as needed, such as internal tooling, documentation, and reproducibility practices for the team.

Requirements

  • Exceptional candidates with a strong publication record may be considered regardless of degree level.

Nice to have

  • Have co-authored at least one paper published at a top ML conference venue (e.g., NeurIPS, ICML, ICLR, ACL, CVPR).
  • Workshop papers are considered, though peer-reviewed conference publications are strongly preferred.
  • Publications in journals such as IEEE or Springer Nature are typically given less weight.

Compensation

  • $140k-$200k

Benefits

  • Are a current PhD student or researcher in machine learning or a related field.
  • If we end up hiring your referral, you'll receive a $1,500 bonus once they've been with CAIS for 90 days.

Equal opportunity

  • The Center for AI Safety is an Equal Opportunity Employer.
  • In alignment with the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.​ If you require a reasonable accommodation during the application or interview process, please contact contact@safe.ai.​ We value diversity and encourage individuals from all backgrounds to apply.
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This listing is sourced directly from Center for AI Safety's careers page and normalized into a canonical job model.