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# Staff Machine Learning Engineer, Ads Conversion Core Modeling

- **Company:** Pinterest
- **Location:** Palo Alto, CA, United States
- **Experience:** Expert
- **Salary:** $222,716.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Data Analysis, Cursor, Software Debugging, Machine Learning, Microsoft Copilot, SQL Databases, Large Language Models, AI Coding Agents, Build Management, Information Technology, Low Latency, Machine Learning Operations, Code Restructuring
- **Published:** October 18, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88643873/1

## About the Role

* 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.

## Description

* 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.