Staff Machine Learning Engineer, Ads Conversion Core Modeling

Pinterest • San Francisco, WA

7d • Hybrid

About The Position

Pinterest is seeking a Staff Machine Learning Engineer to lead the technical vision for its Ads Conversion Core Modeling team. The role involves building state-of-the-art systems that power Pinterest’s global marketplace, including large-scale deep neural network models that improve user action prediction with low latency. The engineer will use text, visual, and user signals to understand user intention and infer interests from online activity. They will apply AI to accelerate analysis and iteration while verifying results, and automate repeatable development tasks such as documentation, reporting, and quality checks. The role also includes coaching and mentoring engineers and collaborating with product and sales teams on new ad products.

The position requires in-office collaboration 1–2 times per month and candidates must be within commuting distance of Pinterest’s San Francisco, Palo Alto, or Seattle offices. It is not eligible for relocation assistance.

Requirements

• Bachelor’s degree in Computer Science, Statistics, or a related field.
• At least 6 years of industry experience building production machine learning systems at scale in Search, Recommendations, or Ranking.
• At least 2 years of experience leading technical projects or teams.
• Demonstrated ability to use AI to improve the speed and quality of relevant day-to-day work.
• Experience using 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 and data exploration, and engineering workflow acceleration.
• High integrity and ownership, including protecting sensitive data, avoiding over-reliance on AI, and remaining accountable for final deliverables.
• Strong mathematical foundation and experience with statistical methods and A/B testing.
• Must be within commuting distance of the San Francisco, Palo Alto, or Seattle offices for in-person collaboration 1–2 times per month.

Responsibilities

• Lead the technical direction and development of applied machine learning projects for ads conversion.
• Design and build large-scale deep neural network models to improve user action prediction with low latency.
• Mine text, visual, and user signals to 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 quality assurance checks.
• Coach and mentor engineers.
• Collaborate with product and sales teams to design new ad products.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior