Machine Learning Engineer (Technical Leadership)
Core
Building and deploying machine learning systems at scale to detect and enforce content, optimize user experience, and solve massive-scale prediction problems across Meta's products.
Role type
Principal Machine Learning Engineer (Technical Leadership)
Builds
ML-powered products for content safety, payment fraud detection, search ranking, and spam detection serving billions of users.
Domain
Social Media / Large-scale Machine Learning
Deliverable
production ML models
Required skills
Machine learning, Recommendation systems, Deep learning, Learning to Rank, Gradient Boosting Machines, Random Forests, Data structures and algorithms, Graph theory, Optimization techniques, MLOps, Model monitoring, Large-scale model training pipelines, Responsible AI practices, Prompt/context engineering, Agent orchestration
Preferred skills
Publications or contributions to the ML research community
Technologies
Python, C++, Java, PyTorch, TensorFlow
Responsibilities
Lead projects with industry-wide impact, mentor and influence technical direction across organizations, plan multi-year roadmaps, drive large cross-functional engineering efforts, apply advanced ML techniques to revenue and user-facing products, implement ethical AI practices, ship ML-powered products to millions of users.
Seniority
Principal, hands-on IC with technical leadership
