Pinterest is building a new Programmatic Ads ML team to bring in exchange-sourced ads demand and supply. We're looking for a Staff ML engineer to develop core bidding and ranking systems that help us optimally buy and sell inventory across exchanges, driving strong ROI for advertisers and growing a critical revenue stream for Pinterest. What you'll do: • Design and implement algorithms for real-time bidding, ad scoring/ranking, inventory selection, and yield optimization across multiple exchanges. • Own end-to-end ML systems: problem framing, metrics, data/feature design, model training, evaluation, and online experimentation. • Introduce and productionize new exchange and supply signals (e.g., quality, conversions, identity, fraud, content understanding) to unlock incremental advertiser value. • Partner closely with Ads Ranking & Bidding, Measurement, and Programmatic Engineering to integrate new models and objectives into the ads stack. • Use AI to accelerate analysis, experimentation, and iteration (e.g., exploring model variants, automating path from learnings to launch) while applying strong judgment and vision. What we're looking for • Industry experience building and shipping large-scale production ML systems in ads, search, recommendations, or related domains. • Deep experience with control/optimization algorithms for bidding, pacing, allocation, or similar marketplace problems. • Strength in probabilistic modeling and measurement (e.g., quality/fraud signals, deep-learning engagement prediction) and making principled trade-offs between coverage, accuracy, and impact. • Proven Staff-level technical leadership as an IC: driving technical direction and cross-team alignment without formal people management. • Demonstrated ability to use AI to improve speed and quality of your workflow, with a strong track record of validating and stress-testing AI-assisted outputs. • Degree in Computer Science, Statistics, or a related field. • Experience with Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring. • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration. Relocation Statement: • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. • This role will need to be in the office for in-person collaboration3 times per quarterand therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle. #LI-SM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $222,716-$389,753 USD