About The Position

Reddit is a community of communities built on shared interests, passion, and trust, home to open and authentic conversations. With over 100,000 active communities and approximately 121 million daily active unique visitors, Reddit is a significant source of information. The Notifications Relevance Team is dedicated to delivering the right content to the right user at the right time through push, email, and in-app notifications. Their systems and algorithms leverage a vast corpus of human conversation to connect Redditors with relevant content, including recommending posts, subreddits, and introducing new communities. This role seeks an Engineering Manager to lead the Notifications Relevance team, shaping the future of Notifications at Reddit. The manager will lead a team of machine learning engineers focused on advancing current Notifications Relevance systems, a high-impact team driving daily active user (DAU) growth and long-term user retention by personalizing user connections to content.

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.

Responsibilities

  • 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.

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
  • medical, dental, and vision insurance
  • 401(k) program with employer match
  • generous time off for vacation
  • parental leave
  • equity in the form of restricted stock units
  • commission (depending on the position offered)

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What This Job Offers

Job Type

Full-time

Career Level

Manager

Education Level

No Education Listed

Number of Employees

501-1,000 employees

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