Machine Learning Engineering Manager - Core Ads Ranking
About The Position
The Machine Learning Engineering Manager will lead Reddit’s Core Ads Ranking team, which 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 initiatives in knowledge distillation, model calibration, and heuristic improvement. The role shapes and scales Reddit’s foundational modeling and deep user-understanding roadmap. It collaborates with downstream teams including Retrieval, Shopping, Click Prediction, Video View-Through Prediction, Conversion Prediction, and App Ads Modeling. The position calls for deep machine learning expertise, strategic vision, and effective collaboration with technical and cross-functional partners.
Requirements
- At least 1 year of management experience leading machine-learning-focused teams.
- At least 6 years of experience building and scaling machine learning models and working with state-of-the-art machine learning models.
- At least 4 years of hands-on experience with TensorFlow or PyTorch.
- Proven ability to train, evaluate, and deploy large-scale models.
Nice To Haves
- Experience with foundational models and user or content understanding.
- Experience with ads.
Responsibilities
- 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 through deployment, ensuring high standards of machine learning performance, reliability, and robustness.
- Recruit, mentor, and retain machine learning talent while fostering growth, collaboration, and technical excellence.
Benefits
- Comprehensive healthcare benefits and income replacement programs.
- 401(k) with employer match.
- Global benefits that support workspace, professional development, and caregiving.
- Family planning support.
- Gender-affirming care.
- Mental health and coaching benefits.
- Flexible vacation and paid volunteer time off.
- Generous paid parental leave.
- Equity in the form of restricted stock units.
- Medical, dental, and vision insurance.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
