[Hiring] Ads Conversion Modeling, Machine Learning Engineering Manager @Reddit

Role Description

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.

Qualifications

• At least 2+ years of experience building and managing high-performing machine learning teams, ideally in the Ads domain. Will consider tech lead experience as well.
• Deep hands-on experience working with machine learning models and deploying them in large-scale production systems.
• Experience with Ads conversion modeling, ranking (heavy ranker experience) & recommendations experience is required.
• Ability to develop and communicate a clear, compelling technical strategy that supports broader company objectives and addresses the needs of internal customers.
• Passion for developing scalable, well-designed, and responsible AI solutions that drive business value.
• Strong interpersonal skills and a collaborative mindset, with the ability to effectively communicate complex technical topics to diverse audiences and build strong relationships with cross-functional partners.

Requirements

• Expertise in architecting and implementing deep learning models, with experience in ranking, recommendation, or conversion modeling.
• Proficiency with mainstream ML libraries (TensorFlow, PyTorch).
• Experience in training, testing, and deploying production-grade machine learning models.
• Experience orchestrating large-scale data generation and processing pipelines.
• Experience in interaction of ranking model with the rest of Ads systems like bidding, auction, retrieval etc.
• Background in ads modeling or familiarity with engagement prediction models in the ads domain is beneficial.

Benefits

• 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA, and Chicago).
• Competitive salary and equity options.
• Comprehensive health benefits (medical, dental, vision) & workplace perks (home office set up stipend etc).
• Generous 401k matching.
• Flexible vacation policy.
• Paid parental leave (4+ months).
• Family planning support.
• Paid volunteer time off.