Center for AI Safety
Research Scientist
San Francisco, CA
Sponsorship not specified$170k-$220kDetected 982 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.
- The work spans areas like AI honesty, robustness, transparency, and trojan/backdoor behaviors, aimed at reducing real-world risks from advanced AI systems.
- You might be a good fit if you: - Are a current PhD student or researcher in machine learning or a related field.
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.
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
- $170k-$220k
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.
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This listing is sourced directly from Center for AI Safety's careers page and normalized into a canonical job model.