Senior Software Engineer - Dynamic Pricing

The mission of the Trip Value team is to improve the rider & driver experience by enhancing coordination between different optimization problems across Uber Marketplace (Pricing, Matching, and Ranking). We build highly-scalable real-time systems that provide predictions of the value of a trip via a variety of ML models, and work closely with partner teams to incorporate these values into their network optimization problems - with the current focus being surge pricing.

Marketplace plays a critical role in service of Uber's mission to make transport accessible. It generates billions of dollars in annual gross bookings for the company by optimizing network efficiency while ensuring drivers and riders have the best possible experience. Trip Value plays a critical piece in this by allowing marketplace algorithms to jointly make optimal decisions, and ensuring these decisions are aligned with the goals of the business.

• What the Candidate Will Do ----

You will work with a mixed team of Engineers, Operations Researchers, and Economists to build large-scale optimization systems based on real-time marketplace conditions for Uber's rides products globally.

• Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field
• 5+ years of full-time Software Engineering work experience
• Proficient in a language such as Java/Go/Python
• Experience building scalable distributed systems
• Familiarity with in-memory datastores (e.g. Redis, Memcached)
• Masters/PhD in relevant fields (CS, EE, Math, Stats, etc.) with a focus on Machine Learning.
• 3+ years of experience in an ML role with an emphasis on data and experiment driven model development.
• Expertise in deep learning and optimization algorithms.
• Experience with ML frameworks such as PyTorch and TensorFlow.
• Experience building and productionizing innovative end-to-end Machine Learning systems.
• Proficiency in one or more coding languages such as Python, Java, Go, or C++.
• Strong communication skills and can work effectively with cross-functional partners.
• Strong sense of ownership and tenacity toward hard machine-learning projects.
• Preferred Qualifications ----
• Expertise in Java software development (e.g. common design patterns, streams, futures, parallel computation, DI frameworks such as Spring)
• Prior experience with NoSQL datastores (e.g. Cassandra)
• Experience with event-driven and streaming architectures (e.g. Apache Kafka)
• Experience building real-time mathematical optimization systems (e.g. using OR Tools or Gurobi)
• History of working with cross-functional partners (Product/Science) to help define roadmaps
• Demonstrated ability to design, maintain, and support business critical systems
• Designing for high availability (fallbacks, circuit breakers, hedging and retries)
• On-call experience

For New York, NY-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.