Staff Machine Learning Engineer (Ads Conversion Core Modeling)
Confirmed on the employer's own hiring board on Oct 9, 2026. First seen by Alion on Jul 16, 2026. Pinterest scores B on the Alion truth index.
Join our team as a Staff Machine Learning Engineer, where you will lead the technical vision for our Ads Conversion Core Modeling team. You will design and build large-scale DNN models, mine various signals to understand user intention, and automate repeatable tasks to speed up the development lifecycle. You will also coach and mentor engineers while collaborating with product and sales to design new ad products. Candidates should have a Bachelor's degree in Computer Science, Statistics, or a related field, with 6+ years of industry experience building production ML systems at scale and 2+ years of experience leading technical projects or teams.
Missions
- 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.
- Coach and mentor engineers while collaborating with product and sales to design new ad products.
Profil recherché
- 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
- 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)
- Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
- Strong mathematical foundation and experience with statistical methods and A/B testing
- 2+ years of experience leading technical projects or teams
- High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final deliverables