Machine Learning Manager, Notifications Relevance

Reddit Reddit · Consumer · United States · Remote · Growth

Engineering Manager for the Notifications Relevance Team at Reddit, focusing on machine learning systems for personalized content delivery via notifications to drive user engagement and retention. The role involves leading a team of ML engineers, architecting and designing relevance systems, and participating in the full ML development cycle.

What you'd actually do

  1. Lead the team that architects and designs notifications relevance at Reddit.
  2. Guide team on holistic, adaptive systems covering budgeting optimization, candidate retrieval, and ranking.
  3. Work with ML engineers to design, implement, and optimize machine-learning models that drive personalization and user re-engagement.
  4. Participate in the full development cycle: design, develop, QA, experiment, analyze, and deploy.
  5. Build and maintain a diverse team that can collaborate across disciplines to find technical solutions to complex challenges.

Skills

Required

  • 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

What the JD emphasized

  • building and managing engineering teams
  • large-scale recommender systems (retrieval + ranking) in production
  • deep understanding of building and deploying large-scale recommender systems (retrieval + ranking) in production

Other signals

  • delivering the right content to the right user at the right time
  • connecting users to what matters most
  • improving the relevance of Reddit Notifications
  • large-scale recommender systems (retrieval + ranking)
  • personalization and user re-engagement