> Markdown version of [/jobs/ext/1154710-sr-staff-machine-learning-engineer-monetization-engineering](https://www.wearedevelopers.com/jobs/ext/1154710-sr-staff-machine-learning-engineer-monetization-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Sr. Staff Machine Learning Engineer, Monetization Engineering

- **Company:** Pinterest
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $227,871.0
- **Contract:** Permanent contract
- **Skills:** Machine Learning, Software Engineering, Backend, Information Technology
- **Published:** July 2, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17452072?backUrl=%2Fcareer%2F17452072%2FSr-Staff-Machine-Learning-Engineer-Monetization-Engineering-Washington-Seattle

## About the Role

* MS or PhD degree in Computer Science, Statistics, related field, or equivalent experience.
 * 7+ years of industry experience.
 * Strong software engineering and mathematical skills with knowledge of statistical methods.
 * Hands-on experience with large-scale online e-commerce systems is a plus.
 * Background in computational advertising is preferred, but not required.

In-Office Requirement Statement:

 * We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
 * This role will need to be in the office for in-person collaboration 1 time/month, and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle.

## Description

* Build and improve backend systems and statistical models that underlay the marketplace to maximize value for Pinners, Partners and Pinterest.
 * Define and implement experiments to understand long term Marketplace effects.
 * Develop strategies to balance long and short term business objectives.
 * Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations.


## Related Videos

- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
- [The Avengers Initiative (Practical Ethics for Software Engineers)](https://www.wearedevelopers.com/videos/2070-the-avengers-initiative-practical-ethics-for-software-engineers)
- [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops)
- [Machine Learning for Software Developers (and Knitters)](https://www.wearedevelopers.com/videos/154-machine-learning-for-software-developers-and-knitters)

## Related Articles

- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)
- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [Dev Digest 119 - ❤️ === ❤️](https://www.wearedevelopers.com/magazine/454-dev-digest-119)
- [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)