Machine Learning Engineer, Ads Conversion Core Modeling

We are looking for a Staff Machine Learning Engineer to lead the technical vision for our Ads Conversion Core Modeling team, building the state‑of‑the‑art systems that power our global marketplace.

• Lead the technical direction and development of state‑of‑the‑art applied ML projects for ads conversion.
• Design and build large‑scale DNN models to improve user action prediction with low latency.
• Mine text, visual, and user signals to better understand intention and infer interests from online activity.
• Use AI to accelerate analysis and iteration, applying judgment and verification to ensure correctness and quality.
• Automate repeatable tasks such as documentation, reporting, and QA checks to speed up the development lifecycle.
• Coach and mentor engineers while collaborating with product and sales to design new ad products.

• Bachelor’s degree in Computer Science, Statistics, or a related field.
• 6+ years of industry experience building production ML systems at scale (Search, Recommendations, or Ranking).
• 2+ years of experience leading technical projects or teams.
• Demonstrated ability to use AI to improve speed and quality in day‑to‑day workflow for relevant outputs.
• 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.
• High integrity and ownership: protects sensitive data, avoids over‑reliance on AI, and remains accountable for final deliverables.
• Strong mathematical foundation and experience with statistical methods and A/B testing.

This position is not eligible for relocation assistance. It requires in‑office collaboration 1–2 times per month and must be within commuting distance of San Francisco, Palo Alto, or Seattle.

• Base salary range: $222,716—$389,753 USD (US‑based applicants only).
• Eligibility for equity compensation.
• Additional benefits available upon request.

Pinterest is an equal‑opportunity employer and makes employment decisions on the basis of merit. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion, sexual orientation, gender identity, age, marital status, protected veteran status, disability, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal history in accordance with legal requirements.

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