# Machine Learning Manager, Notifications Relevance

**Company:** [Reddit](https://hotfix.jobs/companies/reddit)
**Location:** Remote
**Role:** Engineering Management
**Salary:** $230k – $322k/yr
**Experience:** 5+ years
**Skills:** Machine Learning, Recommender Systems, Deep Learning, PyTorch, Ray, Reinforcement Learning, Distributed Training, Sequential Features, Real-Time Systems, Multi-Objective Optimization
**Posted:** 2026-04-23

> Lead a team of ML engineers building notifications relevance systems at Reddit, focusing on recommender systems for personalization and user re-engagement. Requires 5+ years in large-scale ML and 2+ years managing engineering teams.

## Job Description

## What You’ll Do

- 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.

## You Have

- 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

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**Apply:** https://hotfix.jobs/jobs/a3c9b75d-067c-4ff5-b4cc-efd0b50fcc6c
**Canonical:** https://hotfix.jobs/jobs/a3c9b75d-067c-4ff5-b4cc-efd0b50fcc6c