Ads Conversion Modeling, Machine Learning Engineering Manager

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. 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.

Responsibilities

Defining the team's vision, setting strategic direction, and executing a technical roadmap for conversion modeling; Leading a diverse, high-impact team and fostering collaboration with PM, DS, and engineering functions within Ads; Prior experience managing engineering teams with emphasis on technical mentorship and team growth; Planning and executing a long-term technical strategy aligned with business objectives; Overseeing the model development lifecycle from ideation to deployment; Recruiting, mentoring, and retaining top ML talent; Partnering with PMs, data scientists, and other engineering teams to align on engagement strategies, data requirements, and model KPIs; Implementing and optimizing model architectures tailored to conversion prediction, leveraging deep learning and advanced ML techniques; Developing and maintaining machine learning models that drive user conversions from Reddit Ads, with focus on predictive modeling around purchases, signup, add to cart, and other lower funnel user actions

Requirements

At least 2+ years of experience building and managing high-performing machine learning teams, ideally in the Ads domain; tech lead experience will be considered; Deep hands-on experience working with machine learning models and deploying them in large-scale production systems; Proven ability in training, evaluating, and deploying large-scale models; Experience with Ads conversion modeling, ranking (heavy ranker experience) and recommendations experience is required; Ability to develop and communicate a clear, compelling technical strategy; Passion for developing scalable, well-designed, and responsible AI solutions; Strong interpersonal skills and collaborative mindset; Expertise in architecting and implementing deep learning models; Experience with 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 rest of Ads systems like bidding, auction, retrieval

Nice to have

Ads Modeling (Preferred): Background in ads modeling or familiarity with engagement prediction models in the ads domain is beneficial; Experience with Ads conversion modeling is a plus

Benefits

100% remote opportunity; 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; eligible to receive equity in the form of restricted stock units; may also be eligible to receive a commission; medical, dental, and vision insurance; 401(k) program with employer match; generous time off for vacation and parental leave