> Markdown version of [/jobs/ext/655579-sr-machine-learning-engineer-content-shopping](https://www.wearedevelopers.com/jobs/ext/655579-sr-machine-learning-engineer-content-shopping). 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. Machine Learning Engineer, Content Shopping

- **Company:** Pinterest
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Content Analysis, Web Scraping, Cursor (Graphical User Interface Elements), Software Debugging, Information Extraction, Machine Learning, Language Modeling, Natural Language Processing, Recommender Systems, SQL Databases, Web Crawlers, Reinforcement Learning, Large Language Models, Build Management, Information Technology, Machine Learning Operations, Code Restructuring
- **Published:** June 26, 2026
- **Apply:** https://www.dice.com/job-detail/5359ed99-5c56-4d69-9bf5-3d167b3834da

## About the Role

* 5+ years of industry experience applying machine learning to real-world problems, such as search, ranking, recommender systems, natural language processing, personalization, reinforcement learning, or graph representation learning.
 * Hands-on experience training, evaluating, and deploying language models in production environments.
 * Strong problem-solving skills, with the ability to work autonomously, think creatively, and drive ambiguous projects forward.
 * Experience or strong interest in web crawling, web scraping, and large-scale content acquisition.

Nice to have:

 * M.S. or Ph.D. in Machine Learning, Computer Science, or a related technical field.
 * Publications in top-tier machine learning conferences.
 * Passion for applied machine learning and for building products that improve the Pinterest experience.
 * Experience with web crawling, web scraping, search, recommendation systems, or content understanding pipelines.
 * Experience using 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.

## Description

The Content Shopping Mining ML team builds machine learning systems that understand shopping-related content across the web, turning unstructured merchant pages into high-quality structured product data like price, title, availability, and images. This helps improve product experiences on Pinterest, including content quality, distribution, recommendations, and search; for example, see the team's KDD 2025 paper, Cross-Domain Web Information Extraction ;br>
What you'll do:

 * Identify and evaluate high-value content sources for Pinterest including websites, merchants, and social media accounts
 * Help build scalable systems to acquire that content and extract structured attributes from it.
 * Partner closely with cross-functional teams across Pinterest to improve content quality and power better user experiences, such as reducing low-quality content and improving search relevance.
 * Train, fine-tune, and distill language models to better understand webpages and deploy those models in production at scale.
 * Design and build systems for managing large-scale datasets, improving data quality, and automating model iteration and improvement.
 * Use modern agentic coding tools to accelerate development, experimentation, and operational efficiency.


## Related Videos

- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [WeAreDevelopers LIVE – Web Scraping, Agents, Actors and more](https://www.wearedevelopers.com/videos/1764-wearedevelopers-live-web-scraping-agents-actors-and-more)
- [WeAreDevelopers Live: Browser Extensions, Honey Scam, Jailbreaking LLMs and more](https://www.wearedevelopers.com/videos/1286-wearedevelopers-live-browser-extensions-honey-scam-jailbreaking-llms-and-more)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [How to scrape modern websites to feed AI agents](https://www.wearedevelopers.com/videos/1446-how-to-scrape-modern-websites-to-feed-ai-agents)
- [Scrape, Train, Predict: The Lifecycle of Data for AI Applications](https://www.wearedevelopers.com/videos/1652-scrape-train-predict-the-lifecycle-of-data-for-ai-applications)

## Related Articles

- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [Dev Digest 129 - Now that's what I call private data!](https://www.wearedevelopers.com/magazine/468-dev-digest-129-now-that-s-what-i-call-private-data)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)
- [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)