Machine Learning Manager - Ads Engagement Modeling

Job Posted 2 Days Ago Posted 2 Days Ago
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Hiring Remotely in Ontario, ON
Remote
Hybrid
Senior level
Information Technology • Mobile • News + Entertainment • Social Media
The Role
The Engineering Manager will lead the Engagement Modeling Team to build machine learning models that enhance user engagement with ads. Responsibilities include defining technical strategies, overseeing model development, mentoring team members, and collaborating with cross-functional teams.
Summary Generated by Built In

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.

Reddit has a flexible first workforce! if you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely from the United States or Canada.

The Engagement Modeling Team at Reddit focuses on building machine learning models to drive user engagement with diverse media and content. This role offers a unique opportunity to shape and scale Reddit’s Ads prediction models, in alignment with our core values and product goals. We’re a remote-friendly company, and this position is open to candidates anywhere in the U.S.

Responsibilities:

  • Set Technical Vision and Strategy: Define and execute a roadmap for engagement modeling, balancing innovative modeling approaches with business objectives.
  • Drive Technical Execution: Oversee the model development lifecycle from ideation to deployment, ensuring high standards of ML performance and robustness.
  • Lead and Mentor a High-Performing Team: Recruit, mentor, and retain top ML talent, fostering a culture of growth, collaboration, and technical excellence.
  • Collaborate Cross-Functionally: Partner with PMs, data scientists, and other engineering teams to align on engagement strategies, data requirements, and model KPIs.
  • Innovate in ML Architecture: Implement and optimize model architectures tailored to engagement prediction, leveraging deep learning and advanced ML techniques.

Candidate Profile:

  • 2+ years of management experience leading ML-focused teams.
  • 6+ years of experience working with machine learning models at scale.
  • 4+ years of hands-on experience with TensorFlow or PyTorch.
  • End-to-End ML Lifecycle Experience: Proven ability in training, evaluating, and deploying large-scale models.
  • Experience with Ads or Engagement Modeling is a plus, with a focus on media interactions.

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.

Top Skills

PyTorch
TensorFlow
The Company
HQ: San Francisco, CA
1,900 Employees
Hybrid Workplace
Year Founded: 2005

What We Do

Reddit is a community of millions of users engaging in the creation of content and the sharing of conversation across tens of thousands of topics. Our mission is to bring community, belonging, and empowerment to everyone in the world.

Why Work With Us

At Reddit, you’ll help build something that encourages millions around the world to think more, do more, learn more, feel more– and maybe even laugh more.

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