# Machine Learning Manager, Feed Ecosystems

**Company:** [Reddit](https://hotfix.jobs/companies/reddit)
**Location:** Remote
**Role:** Engineering Management
**Salary:** $253k – $355k/yr
**Experience:** 7+ years
**Skills:** Machine Learning, recommender systems, personalization, cold-start modeling, content understanding, LLMs, candidate retrieval, ranking, value modeling, ecosystem dynamics, measurement strategies, responsible ai, Python
**Posted:** 2026-07-29

> Lead a team of ML engineers building recommendation systems for Reddit's Feed Ecosystems. Focus on improving relevance for new users, distributing new content and communities, and balancing personalization with ecosystem health across 100k+ communities. Requires 2+ years managing ML teams and deep expertise in production recommender systems.

## Job Description

## Responsibilities
- Define the technical vision and long-term roadmap for Feed Ecosystems, aligning recommender-system investments with Reddit’s goals around user growth, contribution, community health, and high-quality discovery.
- Coach and support the development of your team, constantly seeking opportunities to grow their skills and impact.
- Work closely with product, design, data science, safety, community, ads, and platform partners to identify opportunities, set expectations, and communicate your team’s work.
- Oversee the design, development, and optimization of ML systems that improve cold-start relevance, new post and community distribution, community discovery, and feed quality.
- Help define and operationalize signals for subjective and objective quality, ensuring Feed systems optimize not only for engagement, but also for user value, community health, contribution, and long-term ecosystem outcomes.
- Collaborate with platform and infrastructure teams to build scalable AI-powered systems that support discovery, personalization, and healthy content distribution across Reddit.
- Maintain high standards for system performance, reliability, efficiency, and responsible AI practices in alignment with user needs and ecosystem health.
- Partner with our recruiting team to attract, interview, and hire diverse and talented machine learning engineers, growing a world-class team.

## Qualifications
- 2+ years of experience building and managing high-performing ML or recommender-systems teams.
- Hands-on experience with large-scale production ML systems, ideally including recommender systems, personalization, cold-start modeling, content understanding, or LLM-powered recommendation applications.
- Strong understanding of recommender systems, including candidate retrieval, ranking, value modeling, ecosystem dynamics, and measurement strategies.
- Ability to develop and communicate a clear, compelling technical strategy across ambiguous problem spaces, balancing user relevance, community growth, content quality, safety, and business impact.
- Passion for developing scalable, well-designed, and responsible AI systems that improve user value while supporting a healthy and sustainable content ecosystem.
- Strong interpersonal skills and a collaborative mindset, with the ability to effectively communicate complex technical topics to diverse audiences and build strong relationships with cross-functional partners.

## Nice-to-Haves
- Experience with recommender systems, personalization, cold-start modeling, content understanding, or LLM-powered recommendation applications.

## Benefits
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave

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