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Engineering Manager, Notifications Relevance - Remote

Posted Yesterday
Software Development
Full Time
USA
$230,000 - $322,000 USD/year

Overview

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information.

The Notifications Relevance Team focuses on delivering the right content to the right user at the right time through push, email, and in-app notifications. Our systems and algorithms operate on the world's largest corpus of human conversation, connecting Redditors with what matters - whether it’s recommending similar posts and subreddits, surfacing conversations they’ll care about, or introducing communities they didn’t know they needed.

We are looking for an Engineering Manager to lead our Notifications Relevance team, shaping the future of Notifications at Reddit. In this role, you will lead a team of machine learning engineers dedicated to advancing our current Notifications Relevance systems. This is a high-impact team driving DAU growth and long-term user retention by connecting users to what matters most to them.

In Short

  • 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

  • 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

  • Comprehensive Healthcare Benefits and Income Replacement Programs
  • 401k Match
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching Benefits
  • Flexible Vacation & Reddit Global Days off
  • Generous paid Parental Leave
  • Paid Volunteer time off
Reddit logo

Reddit

Reddit is a dynamic online platform that fosters community engagement and discussion across a wide range of topics. As a leading social news aggregation and discussion website, Reddit connects millions of users who share content and participate in conversations. The company is committed to understanding user needs and enhancing the user experience through innovative research and collaboration among cross-functional teams. Reddit values growth and is focused on driving product strategy through actionable insights, making it an exciting place for professionals passionate about user experience and research.

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