Machine Learning Manager, Feed Relevance (Retrieval)
$253K–$355K
Remote - United States · Remote · Manager · Full-time · Posted Jul 29, 2026
- Experience
- 2+ years building and managing high-performing ML or recommender-systems teams.
About the job
Leads the Feed Retrieval team in setting strategy and building scalable machine-learning systems that find and shape candidates for Reddit’s personalized feeds.
What you'll do
- Set the technical vision and roadmap for Feed Retrieval, balancing relevance, inventory, experimentation, cost, and reliability.
- Lead and develop the team while overseeing retrieval-system design, delivery, measurement, and operational performance.
- Partner across ML platform, infrastructure, ranking, safety, product, and recruiting teams.
What they ask for
- 2+ years of experience building and managing high-performing ML or recommender-systems teams.
- Hands-on experience with large-scale production ML systems.
- Strong understanding of recommender systems, especially candidate retrieval, embedding/indexing systems, ranking handoffs, feed personalization, exploration, content quality, and measurement.
- Ability to develop and communicate technical strategy, and collaborate effectively across teams.
Nice to have
- Experience with retrieval models, embedding-based systems, sequence models, transformer-based architectures, or LLM-powered recommendation applications.
- Experience with recommender systems.
Pay
$253,300 — $354,600 USD (base salary)
Tools
Machine Learning, recommender systems, retrieval models, embedding/indexing systems, sequence models, transformer-based architectures, LLM-powered recommendation applications
AI focus
Lead production ML and AI work for personalized feed retrieval and recommendations, including scalable retrieval systems that support AI-powered recommendations.
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