Uber Staff Optimization Engineer Dynamic Pricing 

United States, West Virginia 

740034290

What You'll Do

• You will work with a mixed team of Engineers, Operations Researchers, and Economists.
• You will build new scalable algorithms for real-time pricing of Ubers products across hundreds of global marketplaces.
• You will help set the team's technical direction and roadmap.
• You will communicate with leadership, identify new opportunities, and help guide the growth of more junior engineers.

Basic Qualifications

• PhD in relevant fields (Operations Research, Industrial Engineering, Computer Science) with a focus on optimization modeling.
• 5+ years of industry experience developing algorithms and models for large-scale deployment.
• Experience with optimization packages such as Gurobi, CPLEX, and OR Tools.
• Experience with two-sided marketplace design, pricing optimization, matching/allocation, etc…
• Strong communication skills and ability to work effectively with cross-functional partners.
• Proficiency in one or more coding languages such as Python, Java, Go, or C++.

Preferred Qualifications

• Familiarity with Machine Learning models, experimentation (e.g., A/B testing) and causal inference
• Experience with real-time optimization systems (optimization under tight time constraints)
• Experience mentoring and growing junior engineers
• Experience with creating and defining technical direction and roadmaps

For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .