Senior ML Engineer — GenAI & Freight Optimization

Uber Freight; San Francisco (CA); Hybrid; USD 183,000 - 223,000; Full time

Benefits offered by this job

Health plan

Dental & Vision benefits

401(k) match

Equity awards

Job summary

Uber Freight is seeking a Senior Engineer to advance machine learning across its marketplace and operations. You will own end-to-end model development, from research to robust production deployment, with a focus on logistics optimization and scalable systems.

This role requires 5+ years in software or ML engineering, mastery of Python/Go/Java, and proven experience deploying ML models in production. It offers hybrid work in the San Francisco Bay Area and a competitive compensation package.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, or related field.
• 5+ years of Software Engineering or ML Engineering experience.
• Experience with Python, Go or Java in production environments.
• Experience deploying ML models with large data sets and communicating choices to stakeholders.

Responsibilities

• Lead end-to-end lifecycle of predictive models for Uber Freight's marketplace and operations.
• Drive integration of GenAI and Agentic systems where value is最大ized and production readiness is ensured.

Skills

Python

Go

Java

ML in production

Metrics-driven development

Education

Bachelor's degree in CS/CE

MS or PhD in CS/DS/ML

Tools

Storm

Spark

Flink

Graph processing

Job description

Uber Freight is seeking a Senior Engineer to advance machine learning across its marketplace and operations. You will own end-to-end model development, from research to robust production deployment, with a focus on logistics optimization and scalable systems.

This role requires 5+ years in software or ML engineering, mastery of Python/Go/Java, and proven experience deploying ML models in production. It offers hybrid work in the San Francisco Bay Area and a competitive compensation package.