# Staff Machine Learning Engineer, Ads Conversion Core Modeling

**Company**: Pinterest
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Salary**: $222,716-$389,753 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pinterest/jobs/8284744?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_063c75a3-422

## Description

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.

## Skills

### Required
- Machine Learning
- AI
- DNN models
- Statistical methods
- A/B testing

### Nice to have
- Cursor
- Copilot
- Codex
- LLM-powered productivity tools

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pinterest/jobs/8284744?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)