Machine Learning Engineering Manager - Ads Engagement Modeling

Reddit is a community-driven platform focused on shared interests, conversations, and user-generated content. The Machine Learning Engineering Manager will lead the engagement modeling function for Ads, setting technical strategy, overseeing large-scale model development and deployment, mentoring an ML team, and collaborating with product and engineering stakeholders.

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

Requirements:

• • At least 2+ of experience building and managing high-performing machine learning teams, ideally in the Ads domain. Will consider tech lead experience as well
• • Deep ML Expertise: 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
• • End-to-End ML Lifecycle Experience: Proven ability in training, evaluating, and deploying large-scale models
• • 4+ years of hands-on experience with TensorFlow or PyTorch
• • Strategic Thinking: Ability to develop and communicate a clear, compelling technical strategy that supports broader company objectives and addresses the needs of internal customers
• • Impact-Driven Mindset: Passion for developing scalable, well-designed, and responsible AI solutions that drive business value
• • Exceptional Communication & Collaboration: 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
• • Experience with Ads or Engagement Modeling is a plus.