Senior ML Engineer, Marketplace & Optimization

Uber; Chicago (IL); On-site; USD 182,000 - 202,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Benefits package

Job summary

Uber Freight is building the next generation of logistics technology, leveraging Uber’s marketplace playbook to disrupt the freight industry. As a Machine Learning Engineer, you’ll own end-to-end ML models for cost prediction, booking probability, and demand elasticity within UF marketplace, collaborating with backend engineers to deploy models in production.

The role offers growth in predictive modeling, causal inference, constrained optimization, and reinforcement learning in a fast-paced,

Qualifications

• 4+ years of experience developing ML models to solve business problems.
• Strong foundation in computer science and software engineering principles.
• Experience with modern AI/ML frameworks (e.g., PyTorch).

Responsibilities

• Own end-to-end ML model development from conception to production.
• Collaborate with backend engineers to deploy models in production.
• Improve predictive models for pricing, matching, and optimization in Uber Freight.

Skills

ML modeling

Python

PyTorch

Education

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

Tools

PyTorch

Job description

Uber Freight is building the next generation of logistics technology, leveraging Uber’s marketplace playbook to disrupt the freight industry. As a Machine Learning Engineer, you’ll own end-to-end ML models for cost prediction, booking probability, and demand elasticity within UF marketplace, collaborating with backend engineers to deploy models in production.

The role offers growth in predictive modeling, causal inference, constrained optimization, and reinforcement learning in a fast-paced,