• The Core Ads Ranking team advances user representation and graph learning, improves sequence modeling across ads verticals, and builds robust pipelines and state-of-the-art architectures for foundational models. The team also leads core initiatives in knowledge distillation, model calibration, and heuristic improvement
• This role offers an opportunity to shape and scale Reddit’s foundational modeling and deep user-understanding roadmap, while collaborating with downstream teams including Retrieval, Shopping, Click Prediction, Video View-Through Prediction, Conversion Prediction, and App Ads Modeling. The role calls for a leader with deep machine learning expertise, strategic vision, and a collaborative mindset
• Define and execute a roadmap for foundational models and user understanding, balancing ambiguous long-term investments with measurable milestones
• Partner with vertical customer teams, horizontal signal teams, and infrastructure and platform teams to align on direction, strategy, priorities, and constraints
• Oversee the model development lifecycle from ideation to deployment, ensuring high standards of ML performance, reliability, and robustness
• Recruit, mentor, and retain ML talent while fostering a culture of growth, collaboration, and technical excellence

Benefits

• Comprehensive health benefits
• Flexible vacation & Reddit global days off
• Family planning funds & 4+ months paid parental leave
• Personal & professional development funds
• Paid volunteer time off
• Workspace & home office benefits

• Experience with Ads is a plus
• 4+ years of hands-on experience with TensorFlow or PyTorch
• 6+ years of experience building and scaling machine learning models, and working with state-of-the-art machine learning models
• Experience working with foundational models, user understanding, or content understanding
• 1+ years of management experience leading ML-focused teams
• Proven ability to train, evaluate, and deploy large-scale models