# Senior Manager, Machine Learning Engineering-Applied Research

**Company:** [Pinterest](https://hotfix.jobs/companies/pinterest)
**Location:** Remote
**Role:** ML Engineering
**Salary:** $228k – $469k/yr
**Experience:** 8+ years
**Skills:** Machine Learning, Recommendation Systems, artificial intelligence, Deep Learning, natural language processing, Statistics, Data Science, Generative AI, LLMs, Agentic Workflows, Embeddings, Python, kdd, recsys, neurips
**Posted:** 2026-08-04

> Leads a team of machine learning researchers and engineers developing web-scale recommendation systems, guiding strategy, research-to-production execution, and cross-functional delivery. Requires 7+ years of post-graduate academic and industry experience, 3+ years of people management, advanced education, and strong ML publication credentials.

## Job Description

## Responsibilities
- Own the technical roadmap and strategic vision for next-generation recommendation systems.
- Champion state-of-the-art machine learning techniques for recommendation technology.
- Transition breakthrough machine learning research into production-ready systems that impact core company metrics.
- Manage, inspire, and develop machine learning researchers and engineers specializing in recommendation systems.
- Define the team charter while balancing cutting-edge research with foundational embeddings that benefit products across the company.
- Collaborate with Core Engineering, Ads Engineering, Infrastructure, Content, and Data Science teams to prototype, build, and scale solutions.
- Partner with leadership to deepen user understanding and set the strategic direction for the recommendation-system roadmap.
- Deliver high-impact initiatives across multiple product areas and influence peers and leadership using data-driven insights.
- Mentor, coach, and up-level software and machine learning engineers.
- Translate ambiguous questions into well-defined projects with clear success metrics.
- Distill complex technical findings for leadership and product teams.

## Requirements
- 7+ years of combined post-graduate academic and industry experience applying state-of-the-art machine learning technologies to real-world problems on web-scale data.
- 3+ years of direct people-management experience.
- Track record of delivering high-impact initiatives across multiple product areas.
- Experience mentoring, coaching, and developing software and machine learning engineers.
- Strong communication skills and credibility with technical, product, and leadership audiences.
- Strong track record of publications in machine learning, AI, data science, or related technical fields.
- Master's or PhD in Computer Science, Machine Learning, NLP, Statistics, Information Sciences, or a related field.

## Nice-to-haves
- Publications at top-tier ML or RecSys conferences, including KDD, RecSys, NeurIPS, or CVPR.
- Experience with modern LLM and agentic workflows.
- Experience using generative AI to accelerate engineering productivity and context extraction.

## Compensation and Benefits
- Base salary range: **$227,871–$469,147 USD**.
- The position is also eligible for equity.
- Benefits information is available through Pinterest's career materials.
- The role requires in-person collaboration 1–2 times per quarter and can be situated anywhere in the country.
- The position is not eligible for relocation assistance.

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