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# Manager, Machine Learning Engineering-Applied Research

- **Company:** Pinterest
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $228,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Information Sciences, Machine Learning, Natural Language Processing, Large Language Models, Information Technology
- **Published:** August 3, 2026
- **Apply:** https://www.workingnomads.com/job/go/1771478/

## About the Role

* Technical Depth: 7+ years of combined post-graduate academic and industry experience applying state-of-the-art ML technologies to real-world problems on web-scale data, alongside 3+ years of direct people management experience.
 * Proven Execution: A track record of delivering high-impact initiatives across multiple product areas, with a demonstrated ability to influence peers and leadership using data-driven insights.
 * Talent Development: Experience mentoring, coaching, and up-leveling software and machine learning engineers.
 * Continuous Learner: A self-propelled learner who stays ahead of industry trends, new tools, and emerging methodologies, with an appetite for building proof-of-concept prototypes.
 * Business & Product Acumen: The ability to transform vague, ambiguous questions into well-defined projects with clear success metrics that drive business decisions.
 * Communication & Credibility: Excellent communication skills with the ability to distill complex technical findings for leadership and product teams, backed by a strong track record of publications in machine learning, AI, data science, or related technical fields.
 * Academic Credentials: MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
 * Nice to have:
 + Track record of publishing at top-tier ML/RecSys conferences (KDD, RecSys, NeurIPS, CVPR).
 + Experience leveraging modern LLM/Agentic workflows and generative AI capabilities to accelerate engineering productivity and context extraction.

## Description

* 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 1-2 times/quarter and therefore can be situated anywhere in the country.


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