Senior ML Engineer — Marketplace & Optimization

Uber; United States; On-site; USD 182,000 - 224,000; Full time

Job summary

Uber Freight is hiring a Machine Learning Engineer to own and advance ML models for cost prediction, booking probability, and demand elasticity within UF marketplace. You will collaborate with backend engineers to productionize models and ensure robust performance in a fast-paced logistics environment.

The role requires 4+ years of ML model development, a CS/CE degree, and experience with PyTorch. Prior product marketplace experience and knowledge of causal inference are a plus.

Qualifications

• 4+ 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 end-to-end ML models in Uber Freight Marketplace (cost prediction, booking probability, demand elasticity).
• Collaborate with backend engineers to productionize models and ensure reliability.

Skills

ML model development

4+ years experience

Education

Bachelor’s degree in CS/CE/related fields

Tools

PyTorch

Job description

Uber Freight is hiring a Machine Learning Engineer to own and advance ML models for cost prediction, booking probability, and demand elasticity within UF marketplace. You will collaborate with backend engineers to productionize models and ensure robust performance in a fast-paced logistics environment.

The role requires 4+ years of ML model development, a CS/CE degree, and experience with PyTorch. Prior product marketplace experience and knowledge of causal inference are a plus.