Senior ML Engineer - Personalization & Offers

Uber; United States; Hybrid; USD 202,000 - 224,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Various benefits

Job summary

Uber is seeking a Senior Machine Learning Engineer to advance offer relevance and messaging personalization for Uber One. You will own end-to-end modeling, from problem framing to deployment, across Rides, Eats, and related surfaces, delivering personalized offers and messaging at scale.

You will build and evaluate uplift models, design budget-aware allocation, and collaborate with cross-functional teams to translate business goals into concrete ML problems and measurable outcomes.

Qualifications

• Bachelor's degree in Computer Science, Statistics, Economics, Operations Research, or 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.
• Ability to explain a modeling decision and its business consequences clearly to technical and non-technical audiences alike

Responsibilities

• Own the end-to-end lifecycle of targeting and personalization models — problem framing, data, training, offline evaluation, online experimentation, deployment, and monitoring.
• Build heterogeneous treatment effect models that predict the incremental impact of interventions on users.
• Design budget-constrained allocation systems that turn per-user uplift predictions into offer decisions under real constraints.
• Build personalized ranking and sequencing models for membership messaging across Eats and Mobility apps.
• Partner with backend and platform engineers to productionize models in real-time serving paths and batch pipelines.
• Work across Product, Engineering, Data Science, Finance, and Marketing to translate fuzzy business goals into concrete ML problem statements.

Skills

ML model development

Cross-functional collaboration

Experiment design

Production ML deployment

Education

Bachelor's degree in CS/Statistics/OR related

Tools

Python

PyTorch

scikit-learn

XGBoost/LightGBM

Spark

Hive/Presto

Job description

Uber is seeking a Senior Machine Learning Engineer to advance offer relevance and messaging personalization for Uber One. You will own end-to-end modeling, from problem framing to deployment, across Rides, Eats, and related surfaces, delivering personalized offers and messaging at scale.

You will build and evaluate uplift models, design budget-aware allocation, and collaborate with cross-functional teams to translate business goals into concrete ML problems and measurable outcomes.