Staff Machine Learning Engineer, Ads Conversion Core Modeling

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

You will:

• 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, while 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.

Requirements:

• Bachelor's degree in Computer Science, Statistics, or a related field.
• Minimum 6 years of industry experience building production ML systems at scale (Search, Recommendations, or Ranking).
• Minimum 2 years of experience leading technical projects or teams.
• Demonstrated ability to use AI to improve speed and quality in your 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: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final deliverables.
• Strong mathematical foundation and experience with statistical methods and A/B testing.

We offer a salary range of $222,716-$389,753 USD.