Senior ML Engineer: Delivery Marketplace Optimizer

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

Benefits offered by this job

Bonus program

Equity

401(k)

Job summary

Uber in Sunnyvale, CA is seeking a Senior Machine Learning Engineer for the Deliverability team, focusing on end-to-end design and productionization of core ML systems powering global delivery decisions. You will lead architecture, model training, pipelines, and experimentation to optimize merchant delivery coverage while collaborating with Product, Data Science, and Core Infra teams.

This role offers bonus, equity, and comprehensive benefits, with an in-office requirement of 50% time in most

Qualifications

• 5+ years building production ML models at scale.
• Strong analytical mindset for data-driven decisions.
• Expert in Python and ML frameworks.
• Solid ML algorithms knowledge incl. gradient boosting & deep nets.
• Experience deploying end-to-end ML systems.
• Automated feature engineering & feature stores experience.
• Ability to lead cross-functional initiatives.

Responsibilities

• Architect scalable ML solutions for delivery zone optimization.
• Design, train, and refine models for merchant delivery coverage.
• Build and maintain production ML pipelines and feature stores.
• Lead online experiments and analyze telemetry for business metrics.
• Collaborate with product, data science, and infra teams.

Skills

ML at scale

Python

Analytics

A/B testing

Feature engineering

MLOps

Data analysis

Education

PhD candidate with 3+ years industry experience

Tools

PyTorch

TensorFlow

Scikit-learn

XGBoost

LightGBM

Spark

Ray

Flink

H3 / S2

GNNs

Recommender systems

Job description

Uber in Sunnyvale, CA is seeking a Senior Machine Learning Engineer for the Deliverability team, focusing on end-to-end design and productionization of core ML systems powering global delivery decisions. You will lead architecture, model training, pipelines, and experimentation to optimize merchant delivery coverage while collaborating with Product, Data Science, and Core Infra teams.

This role offers bonus, equity, and comprehensive benefits, with an in-office requirement of 50% time in most