Senior ML Engineer - Personalization and Offer Optimization

Uber; San Francisco (CA); On-site; USD 202,000 - 224,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Benefits

Job summary

Uber is seeking a Senior Machine Learning Engineer to advance how membership offers are personalized across Uber and Uber Eats. You will own models that determine which offers and messages to show, on which surfaces, and at what time, balancing incentives, budget constraints, and user experience.

You will partner with backend and platform engineers to productionize models in real-time paths and batch pipelines, translating fuzzy business goals into concrete ML problems that drive measurable

Qualifications

• Bachelor's degree in a quantitative field or equivalent practical experience.
• 5+ years of experience shipping ML models in production.
• Proficiency in Python and modern ML frameworks (PyTorch, scikit-learn, XGBoost/LightGBM).
• Strong SQL and large-scale data processing experience (Spark, Hive, Presto).
• Experience with experimental design and A/B testing.
• Experience with end-to-end ML lifecycle: notebook to production, serving, monitoring, retraining.

Responsibilities

• Own end-to-end targeting and personalization models lifecycle, including framing, data, training, offline evaluation, online experiments, deployment, and monitoring.
• Build heterogeneous treatment effect models predicting incremental impact of interventions.
• Design budget-constrained allocation systems for offer decisions under constraints.
• Develop personalized ranking and sequencing models for membership messaging across Uber apps.
• Collaborate with backend/platform engineers to productionize models in real-time serving paths and batch pipelines.
• Translate business goals into concrete ML problem statements across product, engineering, data science, finance, and marketing.

Skills

Python

SQL

ML lifecycle

A/B testing

Communication

Education

Bachelor's degree in CS or related field

Tools

Spark

Hive

Presto

Job description

Uber is seeking a Senior Machine Learning Engineer to advance how membership offers are personalized across Uber and Uber Eats. You will own models that determine which offers and messages to show, on which surfaces, and at what time, balancing incentives, budget constraints, and user experience.

You will partner with backend and platform engineers to productionize models in real-time paths and batch pipelines, translating fuzzy business goals into concrete ML problems that drive measurable