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Machine Learning Manager - Ads Retrieval

Reddit

Full-time
Canada
machine learning
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Management jobs

The Ads Retrieval team plays a critical role in identifying and surfacing the right ads to users. As the Machine Learning 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

#LI-Remote

 

About the job

Full-time
Canada
12 Applicants
Posted 1 month ago
machine learning
Enhancv advertisement

30,000+
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Machine Learning Manager - Ads Retrieval

Reddit
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Management jobs

The Ads Retrieval team plays a critical role in identifying and surfacing the right ads to users. As the Machine Learning 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

#LI-Remote

 

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