D. Degree in a quantitative field Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesMeta builds technologies that help people connect, find communities, and grow businesses. Model evals, threat modelling, actor telemetry, human-in-the-loop review systems don't sound foreign to you Familiar with fast-paced, high-ambiguity, cross-functional environments - able to jump from agentic trace deep-dives to explaining risk dimensions in plain English to policy stakeholders Background in ambiguous and sparse data environments to operationalize e.g.