Staff Machine Learning Engineer

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

About the Role

the company Freight Marketplace is building the next generation of logistics technology by leveraging the company's proven marketplace playbook to freight. As part of a small, high-impact team, you'll help bring expertise from the company's mobility and delivery marketplaces into a rapidly evolving industry, developing pricing, matching, recommendation, and optimization systems that will disrupt the freight industry ($1T TAM). the company Freight is at a very early stage, with just 0.4% of the pie now, and it's a rare opportunity to solve challenging marketplace problems with AI/ML and marketplace optimization while shaping how the freight industry transforms.

We are looking for a highly motivated Machine Learning Engineer to join the company's Marketplace team to modernize the the company Freight marketplace team. It is a fascinating area with challenges in predictive modeling, causal inference, constrained optimization, reinforcement learning, marketplace design, etc. The business is about to elevate and this role has a huge growing opportunity.

What You'll Do

This role requires end to end ownership for the ML models in UF marketplace (cost prediction, booking probability, demand elasticity, etc.). While your job is mostly about model development, you will work with backend engineers together to put them in production and make sure they work as expected.

Basic Qualifications

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

Preferred Qualifications

• Product experience will be a big plus for this role. Adaptive development of ML models to the business context is critical. Previous experience with state-of-the-art marketplace technology is preferred. Experience with causal inference and constrained optimization

For Chicago, IL-based roles: The base salary range for this role is USD $209,000 per year - USD $232,000 per year.

For New York City, NY-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.

Ready to Ride?

This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.Offices remain key to collaboration and the company's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.the company is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.