AI/Machine Learning Engineer

Responsibilities

• Design and build recommendation and ranking models, including learning-to-rank, re-ranking, gradient-boosted, and neural rankers
• Optimize models for multiple objectives, including analyzing Pareto-fronts to balance competing goals
• Conduct offline evaluation of recommender systems using ranking metrics such as NDCG and recall@k
• Address position and selection bias in logged data to ensure robust model performance
• Apply statistical rigor through significance testing, confidence intervals, and A/B test and holdout design
• Process and analyze large-scale behavioral and clickstream data
• Develop, test, and maintain clean, version-controlled code using Git
• Track experiments and manage models throughout their lifecycle
• Deploy and manage machine learning workflows on a cloud data platform
• Collaborate proactively with cross-functional teams to deliver production-ready ML solutions

Languages