Staff ML Engineer — Marketplace Optimization & Prediction

Uber; Chicago (IL); On-site; USD 209,000 - 232,000; Full time

Benefits offered by this job

Bonuses

Equity

Comprehensive benefits

Job summary

Uber is seeking a highly motivated Machine Learning Engineer to join the Marketplace team in Chicago. You will own end-to-end ML models for cost prediction, booking probability, and demand elasticity, and work with backend engineers to deploy these models to production.

The role emphasizes modern AI/ML frameworks such as PyTorch and requires 6+ years of experience. Base salary varies by location, with Chicago ranges around USD 209,000–232,000 per year.

Qualifications

• 6+ years of experience developing ML models to solve business problems.
• Familiar with modern AI/ML frameworks (e.g., PyTorch).
• Strong collaboration with backend engineers to deploy models to production.

Responsibilities

• Own end-to-end ML models in the UF marketplace (cost prediction, booking probability, demand elasticity).
• Collaborate with backend engineers to productionize models and ensure they work as expected.

Skills

ML modeling

PyTorch

Production deployment

Education

Bachelor's degree in CS/CE or related fields

Job description

Uber is seeking a highly motivated Machine Learning Engineer to join the Marketplace team in Chicago. You will own end-to-end ML models for cost prediction, booking probability, and demand elasticity, and work with backend engineers to deploy these models to production.

The role emphasizes modern AI/ML frameworks such as PyTorch and requires 6+ years of experience. Base salary varies by location, with Chicago ranges around USD 209,000–232,000 per year.