Privacy-First ML Safety Engineer

An innovative AI research organization in San Francisco is seeking researchers focused on developing privacy-preserving techniques in AI systems. The role involves auditing data use and leading privacy initiatives within a senior team. Candidates should have experience in machine learning, strong Python skills, and familiarity with large language models. The expected base compensation ranges from $320,000 to $485,000 annually, complemented by equity and benefits.
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