Ads Conversion Modeling, Machine Learning Engineering Manager

🏢 Reddit · 📍 Remote - United States · 💼 remote us 💰 $230,000 - $230,000 / yr
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Position Summary & Responsibilities

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 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit’s lower funnel business is rapidly growing and pushing the heavy ranking web conversion models towards state-of-the-art is critical for continued growth. The Conversion modeling Team plays a pivotal role in developing and maintaining machine learning models that drive user conversions from Reddit Ads, with a special focus on predictive modeling around interactions like purchase, signup, add to cart, and other lower funnel user actions. 

As we expand our machine learning infrastructure and incorporate new engagement signals, we are looking for a skilled Engineering Manager who can lead this critical team. This role is well-suited for a leader with deep machine learning expertise, strategic vision, and a collaborative mindset to engage with both technical and cross-functional stakeholders.

We’re a remote-friendly company, and this position is open to candidates anywhere in the U.S.

Target Skills and Expertise

The Engineering Manager (EM) will be responsible for defining the team’s vision, setting strategic direction, and executing a technical roadmap for conversion modeling at Reddit. This involves:

  • Model Architectures: Expertise in architecting and implementing deep learning models, with experience in ranking, recommendation, or conversion modeling.
  • ML Frameworks: Proficiency with mainstream ML libraries
🎯 Candidate Preparation Guide For Reddit Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Handling massive unstructured social graphs, community dynamics, content moderation at scale, and high-concurrency traffic spikes.

📋 Preparation Priorities (Key Areas to Clarify):
  • 1. Proposing top-down, heavy-handed solutions that ignore grassroots community moderation dynamics.
  • 2. Underestimating the caching and database consistency challenges of viral, high-velocity discussion threads.
  • 3. Lacking resilience when discussing how to handle toxic content or platform abuse at global scale.
✨ Recommended Role Alignment Hook:

I build scalable social infrastructure that empowers massive online communities to organize, debate, and share freely.

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