Reddit is a community of communities, focusing on delivering the right content to users through notifications. They are seeking an Engineering Manager to lead the Notifications Relevance team, responsible for advancing notification systems and improving user engagement through machine learning.
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
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