The Ads Retrieval team plays a critical role in identifying and surfacing the right ads to users. As the Engineering Manager for Ads Retrieval, you will lead a team of ML engineers to develop large-scale retrieval systems and candidate sourcing models that drive the top of the funnel for our Ads platform.

Responsibilities:

• Set Technical Vision & Strategy: Define and execute the roadmap for ads retrieval—balancing innovation, efficiency, and business impact.

• Oversee Model & System Development: Guide end-to-end ML model development (data processing, training, deployment) and ensure robust, scalable retrieval systems.

• Mentor & Grow Your Team: Recruit, mentor, and retain top ML talent, fostering a collaborative, inclusive, and high-performing culture.

• Cross-Functional Collaboration: Partner with Product Managers, Data Scientists, and other Engineering teams to align retrieval strategies with product requirements and KPIs.

• Continuous Improvement: Advocate for model quality, system reliability, and operational excellence. Identify opportunities to improve ML engineer velocity and overall performance.

Candidate Profile:

• 2+ years of engineering management experience, leading ML or related technical teams.

• 6+ years of industry experience with large-scale ML, ideally in information retrieval, recommendation systems, or ads.

• 4+ years of Hands-on expertise with ML frameworks like TensorFlow or PyTorch.

• Experience deploying ML models to production and measuring their performance through both technical and business metrics.

• Familiarity with ads ecosystems, marketplace dynamics, and candidate retrieval is a major plus.

Benefits:

• Comprehensive Healthcare Benefits

• 401k Matching

• Workspace benefits for your home office

• Personal & Professional development funds

• Family Planning Support

• Flexible Vacation (please use them!) & Reddit Global Wellness Days

• 4+ months paid Parental Leave

• Paid Volunteer time off

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