Base Salary
$171k - $190k/yr
Responsibilities
- Design, develop, and productionize end-to-end machine learning solutions for large-scale distributed systems serving billions of trips.
- Develop pricing approaches for online marketplaces using machine learning, algorithmic game theory, and optimization.
- Build, train, productionize, and monitor ML solutions across offline pipelines and online serving systems.
- Partner with engineers, product managers, and scientists to define technical direction and deliver solutions to complex business problems.
- Plan project scope and execution with senior engineers and mentor junior team members on design and implementation.
Requirements
- Bachelor’s, master’s, or Ph.D. degree in Computer Science, Machine Learning, or Operations Research, or an equivalent technical background with exceptional demonstrated impact.
- At least 2 years of experience developing and deploying machine learning models and optimization algorithms in large-scale production environments.
- Proficiency in Python, Scala, Java, or Go.
- Experience with large-scale data systems such as Spark or Ray, real-time processing such as Flink, and microservices architectures.
- Experience developing, training, productionizing, and monitoring ML solutions at scale, from offline pipelines through online serving and MLOps.
- Familiarity with modern ML algorithms such as DNNs, multi-task models, and transformers, and with mathematical optimization such as linear programming and convex optimization.
- Ability to translate ambiguous business problems into structured technical solutions and communicate through documentation and design discussions.
- Preferred experience with pricing algorithms for multi-sided real-time marketplaces, strategic agent behavior, reinforcement learning, and causal machine learning.
Benefits
- Eligible full-time employees may participate in Uber’s bonus program and may be offered equity awards and other compensation.
- Eligible full-time employees may participate in a 401(k) plan.
- Various employee benefits are available.
Tech Stack
Categories
About Uber
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now. The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.