Pinterest is seeking a Sr. Machine Learning Engineer/Economist to join the Ads Delivery team. In this role, you will build models and systems to connect Pinners with partner products, improve marketplace design and operations, and drive multi-functional collaboration to advance our understanding of marketplace dynamics.
What You'll Do
- Build statistical models and production systems to improve marketplace design and operations for Pinners, Partners, and Pinterest.
- Tune marketplace parameters (e.g., utility function), optimize ad diversity and load, implement auctions, and model long‑term effects to reduce ad fatigue and improve advertiser outcomes.
- Define and implement experiments to understand long term Marketplace effects.
- Develop strategies to balance long and short term business objectives.
- Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations.
- Work on application areas: marketplace performance analysis, advertiser churn/retention modeling, promotional bandwidth allocation, ranking/pricing/mechanism design, bidding/budgeting innovation, and anticipating second‑order effects for new ad offerings.
What We're Looking For
- MS or PhD degree in Computer Science, Economics, Statistics or a related field.
- 2+ years of industry experience.
- Knowledge in auction theory and econometrics.
- Excellent data analysis skills.
- Strong software engineering and mathematical skills.
- Proficient with statistical methods.
- Practical understanding of machine learning algorithms and techniques.
- Impact‑oriented, strong ownership, clear communicator, and collaborative.
Nice to Have
- Ads domain knowledge.
Team & Environment
This role is within the Ads Delivery team.
Benefits & Compensation
- Salary: $177,309—$310,291 USD + equity.
Work Mode
This is a hybrid position based in San Francisco, Palo Alto, or Seattle.
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit.
