Staff Machine Learning Engineer, Ads Conversion
Lead technical vision and development of large-scale DNN models for ads conversion modeling, improving user action prediction with low latency. Requires 6+ years building production ML systems at scale and 2+ years leading technical projects.
What you’ll do
- 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
What we’re looking for
- 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
- 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: protect sensitive data, avoid over-reliance on AI, remain accountable for final deliverables
- Strong mathematical foundation and experience with statistical methods and A/B testing
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