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Machine Learning Manager - Ads Retrieval

Reposted 17 Days Ago
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Remote
Hybrid
Hiring Remotely in Ontario, ON
Senior level
Remote
Hybrid
Hiring Remotely in Ontario, ON
Senior level
As the Engineering Manager for Ads Retrieval at Reddit, you will lead a team of ML engineers in developing large-scale retrieval systems and sourcing models for ads. You will define technical strategies, oversee model development, mentor your team, and collaborate with cross-functional stakeholders to ensure alignment with product goals and improve performance metrics.
The summary above was generated by AI

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.


The Ads Retrieval team is dedicated to identifying and sourcing the most relevant, engaging, and high-quality ad candidates from a vast pool of possibilities. By building and refining large-scale indexing and retrieval systems capable of handling millions to billions of candidates—and leveraging advanced machine learning models and infrastructure—we enable optimal downstream ranking and delivery. As we evolve Reddit’s advertising business, the Ads Retrieval team plays a critical role in ensuring a strong supply of relevant ads that meet both user engagement goals and advertiser performance targets. We are seeking a Manager with deep ML expertise, strategic vision, and strong leadership to define and execute the team’s roadmap.

Responsibilities:

  • Set Technical Vision & Strategy: Define and execute a comprehensive roadmap for ads retrieval that balances innovation, efficiency, and business impact.
  • Oversee Model & System Development: Guide the end-to-end ML model development process—from data processing and training to deployment—and ensure the retrieval systems are robust and scalable.
  • Mentor & Grow Your Team: Recruit, mentor, and retain top ML talent while 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 key performance indicators (KPIs).
  • Continuous Improvement: Advocate for model quality, system reliability, and operational excellence. Identify and implement opportunities to enhance ML engineer productivity and overall team performance.

Requirements:

  • At least 2 years of engineering management experience, leading ML or related technical teams.
  • A minimum of 6 years of experience with large-scale ML, ideally in information retrieval, recommendation systems, or advertising.
  • At least 4 years of hands-on experience with ML frameworks such as TensorFlow or PyTorch.
  • Proven experience deploying ML models to production and measuring their performance using both technical and business metrics.
  • Familiarity with advertising ecosystems, marketplace dynamics, and candidate retrieval processes is a significant 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

#LI-Remote


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 you need assistance or an accommodation due to a disability, please contact us at [email protected].

Top Skills

Ml
PyTorch
TensorFlow

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