AI
Sr.StaffMachineLearningEngineer,ContentEcosystem
“Sr. Staff Machine Learning Engineer, Content Ecosystem at Pinterest. Skills: Machine Learning, Optimization, Marketplace dynamics, Technical strategy. Set ML strategy and vision. Develop content ecosystem measurement framework”
What You'll Achieve.
improve overall ecosystem health; balance relevance, quality, diversity, integrity, and monetization; strengthen the ecosystem tomorrow; maximize long-term ecosystem value; deliver measurable impact
Industry & Context.
rigorous ML thinking; problems are inherently multi-objective and long-horizon; uncovering the attributes that make content succeed; designing optimization approaches that balance relevance, quality, diversity, integrity, and monetization; identify and close content gaps; Deeply understand what content works and why by combining causal thinking, experimentation, and model interpretability
In-Office Requirement Statement: This role will need to be in the office for in-person collaboration 1-2 times every 6 months, US based applicants only
What They're Looking For.
Must Have
fundamentals in machine learning and optimization, ability to apply them to real-world, high-scale ecosystem problems, Demonstrated ability to lead technical strategy, navigate ambiguity, deliver end-to-end impact, Deep interest in marketplace dynamics, comfort with multi-objective tradeoffs, Experience with Cursor, Copilot, Codex, or similar AI coding assistants, Familiarity with LLM-powered productivity tools
Nice to Have
background in game theory, reinforcement learning, mechanism design, causal inference applied to ecosystems/marketplaces
What You'll Do.
Set ML strategy and vision
Develop content ecosystem measurement framework
Quantify content health and performance
Identify and close content gaps
Build models and insights
Understand content success factors
Build and optimize content marketplace mechanisms
Design multi-objective optimization approaches
Translate ecosystem problems into roadmaps
Deliver measurable impact
Mentor junior ML engineers
Raise ML engineering quality bar
Establish best practices
Communicate technical proposals
Explore and apply advanced methods
How You'll Work.
Team & Collaboration
Partner with DS teams; Partner closely with cross-functional teams (Product, Data Science, UX Research, Content/Creator teams, Trust & Safety, Ads, Infra); Align stakeholders on tradeoffs; Drive decisions across org boundaries
Communication Scope
Communicate clearly; Influence broadly; Producing crisp technical proposals; Aligning stakeholders on tradeoffs; Driving decisions
Process & Methodology
Translate ambiguous ecosystem problems into clear technical roadmaps
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