Remote ML Manager - Feed Retrieval & Relevance

Bazeta; United States; Remote; USD 253,000 - 355,000; Full time

Benefits offered by this job

Healthcare benefits

401k with employer match

Generous paid time off

Job summary

Reddit is seeking an experienced Engineering Manager to lead the Feed Retrieval team, building scalable ML systems that identify, retrieve, and shape candidate inventory for personalized feeds used by 120M+ daily users. You will define the technical vision, drive the roadmap, and mentor engineers as you partner with ML platform, infrastructure, ranking, safety, and product teams.

The role emphasizes hands-on leadership, cross-functional collaboration, and delivering impact through high-quality

Qualifications

• 2+ years of experience leading ML or recommender-systems teams.
• Hands-on experience with large-scale production ML systems (recommender systems, retrieval models, embeddings).
• Strong understanding of recommender systems, ranking handoffs, and measurement strategies.
• Ability to develop and communicate a clear technical strategy across ambiguous problem spaces.

Responsibilities

• Define Technical Vision & Strategy for Feed Retrieval and long-term roadmap.
• Translate goals into a focused team roadmap with prioritization across model quality, inventory, and infrastructure.
• Coach and develop team members to grow their skills and impact.
• Oversee design, development, and optimization of retrieval systems for high-quality candidates.

Skills

Leading ML Teams

Deep ML Expertise

Recommender Systems

Strategic Thinking

Impact-driven Mindset

Communication & Collaboration

Job description

Reddit is seeking an experienced Engineering Manager to lead the Feed Retrieval team, building scalable ML systems that identify, retrieve, and shape candidate inventory for personalized feeds used by 120M+ daily users. You will define the technical vision, drive the roadmap, and mentor engineers as you partner with ML platform, infrastructure, ranking, safety, and product teams.

The role emphasizes hands-on leadership, cross-functional collaboration, and delivering impact through high-quality