Machine Learning Manager, Feed Ecosystems

Reddit, Inc.

Engineering Manager leading a high-impact Machine Learning team at Reddit. Focused on building AI-driven recommendation systems that promote community growth and user engagement.

Posted 7/29/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-Level💰 $253,300 - $354,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and managing high-performing machine learning teams, with a strong focus on developing scalable AI systems and recommender systems. Capable of defining technical strategies that enhance user value while ensuring system performance and responsible AI practices.

Highest-signal resume keywords

Machine Learning Systems ManagementRecommender Systems ExpertiseTechnical Strategy DevelopmentTeam Coaching and SupportInterpersonal Communication

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningRecommender SystemsPersonalizationCold-Start ModelingContent UnderstandingLarge-Scale Production SystemsCandidate RetrievalRankingValue ModelingMeasurement Strategies

Soft Skills

Collaborative MindsetStrong Interpersonal SkillsEffective Communication

Tools & Technologies

AI-Powered SystemsML Frameworks

Industry Keywords

Technical VisionEcosystem DynamicsQuality SignalsUser RelevanceCommunity GrowthContent QualityBusiness Impact

About the role

Key responsibilities & impact

Define the technical vision and long-term roadmap for Feed Ecosystems.
Coach and support the development of your team.
Work closely with product, design, data science, safety, community, ads, and platform partners.
Oversee the design, development, and optimization of ML systems.
Help define and operationalize signals for subjective and objective quality.
Collaborate with platform and infrastructure teams to build scalable AI-powered systems.
Maintain high standards for system performance, reliability, efficiency, and responsible AI practices.
Partner with our recruiting team to attract, interview, and hire diverse and talented machine learning engineers.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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