We’re looking for a Senior Machine Learning Manager to lead and grow the Ads Retrieval team. This person will combine deep ML technical expertise, people leadership, and strategic vision to build retrieval solutions that scale with Reddit’s growth and complexity. You’ll oversee the development of models and infrastructure that directly impact revenue, user satisfaction, and advertiser outcomes. You’ll play a foundational role in the success of Reddit’s Ads business—leading the team that powers relevance and performance at scale. This is a high-impact leadership opportunity for someone passionate about cutting-edge ML, information retrieval, and marketplace systems.
The Ads Retrieval team is responsible for identifying and sourcing the most relevant, engaging, and high-quality ads from an enormous candidate pool—often in the millions to billions. This team ensures a strong top-of-funnel supply of ad candidates for downstream ranking, balancing relevance to users and performance for advertisers. Our systems support large-scale ad indexing, querying, and candidate sourcing, and our ML models play a critical role in ensuring the most relevant ads are retrieved efficiently. Retrieval is foundational to our success in both revenue and user experience—and we’re just getting started.
Responsibilities:
Set Technical Vision & Strategy
- Define and execute the roadmap for Reddit’s ads retrieval systems—balancing innovation, model performance, system scalability, and business priorities.
- Leverage domain expertise to influence strategy across the broader Ads Engineering organization.
Oversee ML Model and System Development
- Lead the design and development of ML models for large-scale retrieval, including deep learning, embeddings, indexing, and early-stage ranking techniques.
- Ensure the team is delivering robust end-to-end solutions—from feature engineering and training to deployment, evaluation, and monitoring.
Build & Scale a High-Impact Team
- Recruit, mentor, and develop a diverse and inclusive team that thrives on collaboration and ownership.
- Promote a culture of continuous learning, experimentation, and technical excellence.
Collaborate Cross-Functionally
- Partner closely with Product Managers, Data Scientists, Backend Engineers, and leadership across Reddit’s Ads org.
- Translate business goals and user engagement metrics into engineering solutions and measurable outcomes.
Drive Operational Excellence
- Champion system reliability, model quality, and code maintainability.
- Identify opportunities to improve engineer velocity, efficiency, and impact across the ML lifecycle.
Requirements:
- Deep experience developing large-scale ML systems in production.
- Strong knowledge of early-stage ad ranking, embedding techniques, and candidate sourcing.
- Familiarity with auction systems, advertiser KPIs, or ad quality measurement.
Technical & Domain Expertise
- ML & Retrieval Systems: Deep experience applying ML to large-scale information retrieval, recommendation systems, or ad retrieval problems.
- ML Frameworks & Lifecycle: Strong proficiency in TensorFlow or PyTorch, with a track record of managing models from development to deployment and performance monitoring.
- Scalable Systems: Expertise building high-throughput data pipelines and indexing systems that retrieve, process, and rank candidates efficiently.
- Ads Ecosystem: Experience with ads retrieval, targeting, and understanding marketplace dynamics is highly valued.
Leadership Attributes
- People Management: Experience managing multiple ML teams, with a focus on mentorship, hiring, and performance management.
- Strategic Execution: Ability to align a technical roadmap with business outcomes and drive it through to delivery.
- Strong Communicator: Able to clearly explain complex technical concepts to cross-functional stakeholders.
- Service Mindset: Solutions-oriented, adaptable, and deeply invested in both team and company success.
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
#LI-Remote
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
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