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 Health benefits
• Retirement Savings plan with matching contributions
• Workspace benefits for your home office
• Personal & Professional development funds
• Family Planning Support
• Flexible Vacation & Reddit Global Days Off

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