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Engineering Manager - Ads Retrieval

unlimited holidays - extra parental leave - work from home - fully flexible

Remote:

Full Remote

Experience:

Senior (5-10 years)

Work from:

Canada

Offer summary

Qualifications:

2+ years of engineering management experience, 6+ years in large-scale ML industry, 4+ years with ML frameworks like TensorFlow or PyTorch, Experience deploying ML models to production.

Key responsabilities:

Define and execute roadmap for ads retrieval
Guide end-to-end ML model development
Recruit, mentor, and retain top ML talent
Partner with teams to align strategies
Advocate for model quality and system reliability

Reddit Internet Unicorn http://redditinc.com

1001 - 5000 Employees

See all jobs

Job description

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 97M+ 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 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

#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 ApplicationAssistance@Reddit.com.