Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience applying differential privacy, k-anonymity, or other formal de-identification techniques in production rather than in research only Experience with pseudonymization lifecycle, including deletion of the user-to-pseudonym mapping Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience implementing obligations conditioned on jurisdiction, age band, or cohort: regional carve-outs, regulatory deadlines, minor and parent-initiated request handling Experience improving AI model performance through expert feedback, red teaming, or evaluation design Background in ML and model privacy: memorization, membership inference, training-data extractability, disclosure through model outputs Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Contributions to the privacy or security community (original research, tools, conference presentations, publications) Experience with privacy review or privacy incident response at scale
$154,000/year to $217,000/year + bonus + equity + benefits