Summary
Join Reddit's Ads Retrieval team as Engineering Manager and lead a team of ML engineers. You will define and execute the roadmap for ads retrieval, overseeing model and system development, and mentoring your team. This role requires collaboration with various teams to align retrieval strategies with product requirements. You will champion model quality, system reliability, and operational excellence. The ideal candidate possesses extensive experience in large-scale ML, particularly in information retrieval or related fields, along with proven engineering management skills.
Requirements
- 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
Responsibilities
- Define and execute the roadmap for ads retrieval—balancing innovation, efficiency, and business impact
- Guide end-to-end ML model development (data processing, training, deployment) and ensure robust, scalable retrieval systems
- Recruit, mentor, and retain top ML talent, fostering a collaborative, inclusive, and high-performing culture
- Partner with Product Managers, Data Scientists, and other Engineering teams to align retrieval strategies with product requirements and KPIs
- Advocate for model quality, system reliability, and operational excellence. Identify opportunities to improve ML engineer velocity and overall performance
Preferred Qualifications
Familiarity with ads ecosystems, marketplace dynamics, and candidate retrieval
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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