Hiring: Sr Machine Learning Engineer Company: Uber Location: San Francisco, CA Job Posted Time: 2026-09-17 01:49:55 Employment Type: Full-time / Remote Target Skills & Keywords : A/B Testing, Hive, Kind, LightGBM, Machine Learning, Make, PyTorch, Python, Reinforcement Learning, SQL, Spark, TestNG, XGBoost, scikit-learn About the job Experience: •5+ years of experience building and shipping ML models that drive product or business decisions in production. Required Skills: •Develop and own models that inform which users are shown which offers and communications, on which surfaces, and at what time - spanning incentive targeting, budget-aware allocation, and personalized ranking of messaging across the Uber and Uber Eats apps. •What The Candidate Will Do Qualifications: •Bachelor's degree in Computer Science, Statistics, Economics, Operations Research, or a related quantitative field, or equivalent practical experience. •5+ years of experience building and shipping ML models that drive product or business decisions in production. •Strong proficiency in Python and modern ML frameworks (PyTorch, scikit-learn, XGBoost/LightGBM or equivalent). •Strong SQL and hands-on experience with large-scale data processing (Spark, Hive, Presto, or comparable). •Demonstrated experience with experimental design and analysis - A/B testing, power analysis, variance reduction, and interpreting noisy results responsibly. •Experience building a model across all lifecycle stages: from notebook to production pipelines, serving, monitoring, retraining, and deployment. •Demonstrated capacity to explain a modeling decision and its business consequences clearly to technical and non-technical audiences alike •Experience training deep feed-forward models (MLP) for uplift estimation. •Practical experience utilizing constrained optimization applied to resource allocation (LP/MIP, Lagrangian duality, dual-price or bidding-style budget pacing). •Practical experience utilizing incentive, promotion, pricing, or discount targeting at consumer scale. Compensation: •$202,000 per year •$224,000 per year •Flexible work environment (work from home / hybrid options) •All full-time employees are eligible to participate in a 401(k) plan Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!