Staff Machine Learning Engineer

Uber Freight Marketplace is building the next generation of logistics technology by leveraging Uber's proven marketplace playbook to freight. As part of a small, high-impact team, you'll help bring expertise from Uber'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). Uber 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 Uber's Marketplace team to modernize the Uber Freight marketplace. It is a fascinating area with challenges in predictive modeling, causal inference, constrained optimization, reinforcement learning, marketplace design, etc.

What You'll Do

• End-to-end ownership for the ML models in the Uber Freight 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 problems.
• 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.

Base salary ranges: Chicago $209,000-$232,000; San Francisco / New York City / Seattle / Sunnyvale $232,000-$258,000.