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Reddit, Inc.

Machine Learning Manager, Notifications Relevance

Reddit, Inc.

Engineering Manager leading Notifications Relevance team at Reddit. Shaping the future of Notifications through machine learning and user engagement strategies.

Posted 4/23/2026full-timeRemote • 🇺🇸 United StatesSeniorLead💰 $230,000 - $322,000 per yearWebsite

Tech Stack

Tools & technologies
PyTorchRay

About the role

Key responsibilities & impact
  • Lead the team that architects and designs notifications relevance at Reddit.
  • Guide team on holistic, adaptive systems covering budgeting optimization, candidate retrieval, and ranking.
  • Work with ML engineers to design, implement, and optimize machine-learning models that drive personalization and user re-engagement.
  • Participate in the full development cycle: design, develop, QA, experiment, analyze, and deploy.
  • Build and maintain a diverse team that can collaborate across disciplines to find technical solutions to complex challenges.
  • Serve as a thought partner to product and upper management to ensure your team’s plans align with company goals.
  • Communicate your team’s work and set expectations with cross-functional stakeholders.
  • Help your engineers identify career goals and create development plans to achieve them.
  • Constantly seek opportunities to push your engineers & managers outside their comfort zone and turn followers into leaders.

Requirements

What you’ll need
  • 2+ years of experience building and managing engineering teams.
  • 5+ years of experience as a Machine Learning Engineer or Software Engineer working on large-scale machine learning systems.
  • Deep understanding of building and deploying large-scale recommender systems (retrieval + ranking) in production.
  • Hands-on experience working with deep learning models, sequential features and real-time systems.
  • Experience with distributed training and inference using tools like Ray, PyTorch Distributed, or similar.
  • Familiarity with reinforcement learning or multi-objective optimization in recommendation systems.
  • Entrepreneurial and self-directed, innovative, results-oriented, biased towards action in fast-paced environments.
  • Able to communicate and discuss complex topics with technical and non-technical audiences.
  • Able to tackle ambiguous and undefined problems

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
machine learningdeep learningrecommender systemsdistributed traininginferencereinforcement learningmulti-objective optimizationlarge-scale systemssoftware engineeringcandidate retrieval
Soft Skills
leadershipcommunicationcollaborationproblem-solvinginnovationresults-orientedself-directedadaptabilitymentorshipstrategic thinking