Staff ML Engineer - Marketplace & Optimization

Uber; Sunnyvale (CA); On-site; USD 232,000 - 258,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Full-time benefits

Job summary

Uber Freight is hiring a Machine Learning Engineer to join the Marketplace team in Sunnyvale, CA. You will own ML models for pricing, matching, and optimization, collaborating with back-end engineers to deploy models into production.

The role emphasizes predictive modeling, causal inference, and constrained optimization in a fast-growing logistics platform. The ideal candidate has 6+ years of ML experience, a CS/Engineering degree, and proficiency with PyTorch.

Qualifications

• 6+ years of experience developing ML models to solve business problems.
• Bachelor's degree in Computer Science, Computer Engineering, or related fields.
• Familiar with modern AI/ML frameworks (e.g., PyTorch).

Responsibilities

• Own ML models end-to-end for Uber Freight marketplace (pricing, matching, demand elasticity).
• Collaborate with backend engineers to productionize models and ensure they work as expected.

Skills

ML modeling

Production collaboration

Education

Bachelor's degree in Computer Science/Engineering or related fields

Tools

PyTorch

Job description

Uber Freight is hiring a Machine Learning Engineer to join the Marketplace team in Sunnyvale, CA. You will own ML models for pricing, matching, and optimization, collaborating with back-end engineers to deploy models into production.

The role emphasizes predictive modeling, causal inference, and constrained optimization in a fast-growing logistics platform. The ideal candidate has 6+ years of ML experience, a CS/Engineering degree, and proficiency with PyTorch.