Technical Lead, Safety Research
Hybrid · San Francisco, California, United States
Job Summary
As a Technical Lead in Safety Research, you will set strategic research directions to enhance AI safety, oversee the development of safety methodologies, and collaborate across teams to ensure robust safety measures in AI systems. Candidates should have extensive experience in AI safety, particularly in areas such as reinforcement learning from human feedback (RLHF), adversarial training, and robustness. A Ph.D. or equivalent in computer science or a related field is required.
Required Qualifications
- 4+ years of experience in the field of AI safety
- Strong track record of practical research on safety and alignment
- Ph.D. or other degree in computer science, machine learning, or a related field
- Team player who enjoys collaborative work environments
Desired Qualifications
- Experience in safety work for AI model deployment
- In-depth understanding of deep learning research
- Strong engineering skills
- Experience with RLHF, adversarial training, robustness, fairness & biases
Additional Requirements
- Background checks for applicants will be administered in accordance with applicable law
- Qualified applicants with arrest or conviction records will be considered for employment
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