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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in multimodal machine learning, particularly in combining vision and language, with a focus on content moderation and trust and safety systems. Proficient in building evaluation infrastructure and adapting foundation models for production use while ensuring compliance with regulatory standards.
Highest-signal resume keywords
Multimodal Machine LearningContent Moderation SystemsPython ProgrammingProduction ML SystemsEvaluation Infrastructure
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Multimodal Machine LearningPython ProgrammingProduction ML SystemsContent ModerationEvaluation StandardsFoundation Model AdaptationFine-TuningDistillationOptimization for LatencyCost Tradeoffs
Soft Skills
Systems ThinkingAccountability
Industry Keywords
Trust and SafetyContent ModerationRegulatory ComplianceAdvertising StandardsDSAChild-Directed Treatment
Tech Stack
Tools & technologiesDistributed SystemsPython
About the role
Key responsibilities & impact- Execute the multimodal content representation strategy across video, image, playable, audio, and text
- Build content-understanding foundations serving both relevance and moderation
- Partner with product, engineering, and science teams to translate regulatory and contractual obligations into measurable ML objectives
- Define evaluation standards where labels are scarce, noisy, and contested
- Build evaluation and labeling infrastructure
- Build shared foundations including content embeddings, game-level features, evaluation harnesses, and labeling pipelines
- Power recommendations for billions of users while protecting them from harmful content
Requirements
What you’ll need- Experience in multimodal machine learning combining vision and language, with video experience especially relevant
- Experience owning a trust and safety, content moderation, brand safety, or policy enforcement system in production
- Experience operating where labels are scarce, ambiguous, or disputed
- Experience adapting foundation models for production use, including fine-tuning, distillation, and optimization for latency and cost
- Strong programming skills in Python
- Experience running production ML systems on a serving path
- Fluency in latency, throughput, and cost tradeoffs
- Experience reviewing and remaining accountable for production code, including code produced with AI assistance
- Familiarity with regulatory and policy regimes affecting advertising content, such as DSA, child-directed treatment, and regional advertising standards (optional)
- Strong systems thinking and ability to reason about performance, scalability, reliability, and cost tradeoffs in distributed systems (optional)
- Sufficient knowledge of English for professional verbal and written exchanges
Benefits
Comp & perks- Equity awards
- Participation in company incentive plans, such as annual discretionary bonuses or sales commissions
- Comprehensive health, life, and disability insurance
- Commute subsidy
- Employee stock ownership
- Competitive retirement/pension plans
- Generous vacation and personal days
- Leave and family-care programs for new parents
- Office food snacks
- Mental Health and Wellbeing programs and support
- Employee Resource Groups
- Global Employee Assistance Program
- Training and development programs
- Volunteering and donation matching program
