Sr. Staff Machine Learning Engineer, Content Ecosystem
Core
Define durable ML strategy to improve overall content ecosystem health, balancing relevance, quality, diversity, integrity, and monetization for a dynamic marketplace.
Role type
Sr. Staff Machine Learning Engineer (Content Ecosystem Strategy)
Builds
End-to-end content ecosystem systems including supply, distribution, and engagement mechanisms
Domain
Social media marketplace / Content discovery
Deliverable
production ML models
Required skills
Machine learning fundamentals, optimization, technical strategy leadership, causal thinking, model interpretability, multi-objective optimization, mechanism design, game theory, reinforcement learning
Preferred skills
Experience with Cursor/Copilot/Codex, LLM-powered productivity tools, background in game theory/reinforcement learning/mechanism design/causal inference
Technologies
LLM-powered tools, SQL, Python (implied by ML context)
Responsibilities
Set technical strategy and vision for ML systems improving content ecosystem; Partner with DS teams to develop content ecosystem measurement framework; Identify and close content gaps by building models and insights; Deeply understand content success via causal thinking and experimentation; Build and optimize content marketplace mechanisms balancing multi-sided incentives; Design multi-objective optimization approaches; Partner with cross-functional teams to translate problems into roadmaps; Mentor junior ML engineers; Establish best practices for data quality and model governance; Communicate and influence stakeholders on tradeoffs
Seniority
Sr. Staff, high-leverage technical leadership & mentorship
