# Machine Learning Manager, Notifications Relevance

**Company**: Reddit
**Location**: Remote - United States
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $230,000-$322,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/reddit/jobs/7846885
**Canonical**: https://yubhub.co/jobs/job_7b33f213-4b5

## Description

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. If applying ML / AI in production to improve the relevance of Reddit Notifications excites you, then you’ve found the right place.

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

## Skills

### Required
- Machine Learning
- Deep Learning
- Recommender Systems
- Distributed Training
- Inference
- Ray
- PyTorch Distributed
- Reinforcement Learning
- Multi-Objective Optimization

### Nice to have
- Entrepreneurial
- Self-Directed
- Innovative
- Results-Oriented
- Biased Towards Action