Staff ML Engineer: Freight Marketplace Optimization

Uber; Seattle (WA); On-site; USD 232,000 - 258,000; Full time

Benefits offered by this job

Bonus program

Equity

401(k) plan

Benefits

Job summary

Uber Freight Marketplace is building the next generation of logistics technology. We seek a Machine Learning Engineer to own ML models end-to-end and work with backend teams to deploy them.

Expect strong focus on predictive modeling, causal inference, and marketplace optimization in a high-growth setting. The role emphasizes hands-on model development with opportunity to influence pricing, matching, and optimization systems across multiple US locations, including Seattle.

Qualifications

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

Responsibilities

• Own ML models end-to-end for Uber Freight Marketplace (cost prediction, booking probability, demand elasticity).
• Collaborate with backend engineers to productionize models and ensure they work as intended.

Skills

ML model development

PyTorch experience

Education

Bachelor's degree in Computer Science or related field

Job description

Uber Freight Marketplace is building the next generation of logistics technology. We seek a Machine Learning Engineer to own ML models end-to-end and work with backend teams to deploy them.

Expect strong focus on predictive modeling, causal inference, and marketplace optimization in a high-growth setting. The role emphasizes hands-on model development with opportunity to influence pricing, matching, and optimization systems across multiple US locations, including Seattle.