Ads Conversion Modeling, Machine Learning Engineering Manager

Reddit is a community of communities built on shared interests, passion, and trust, and one of the internet’s largest sources of information. The Ads Conversion Modeling Engineering Manager will lead the team responsible for developing and maintaining machine learning models that drive user conversions from Reddit Ads. The role focuses on setting technical strategy, overseeing model development and deployment, mentoring engineers, and collaborating with product, data science, and engineering teams.

Responsibilities:

• People Management Experience: Prior experience managing engineering teams with a strong emphasis on technical mentorship and team growth
• Set Technical Vision and Strategy: Ability to plan and execute a long-term technical strategy aligned with business objectives. Define and execute a roadmap for conversion 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 conversion prediction, leveraging deep learning and advanced ML techniques

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 rest of Ads systems like bidding, auction, retrieval etc
• Prior experience managing engineering teams with a strong emphasis on technical mentorship and team growth
• At least 2+ of experience building and managing high-performing machine learning teams, ideally in the Ads domain
• 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) & 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
• Background in ads modeling or familiarity with engagement prediction models in the ads domain is beneficial
• Experience with Ads conversion modeling