Base Salary
$202k - $224k/yr
Responsibilities
- Lead the design, development, and productionization of end-to-end machine learning solutions for large-scale distributed systems.
- Develop pricing approaches for online marketplaces using machine learning, algorithmic game theory, and optimization.
- Design, train, deploy, and monitor ML solutions across offline pipelines and online serving systems.
- Help set technical direction, own implementation, and provide technical mentorship to junior engineers.
- Collaborate with engineers, product managers, and scientists on complex, high-impact marketplace problems.
Requirements
- Bachelor’s, master’s, or doctoral degree in Computer Science, Machine Learning, or Operations Research, or an equivalent technical background with exceptional demonstrated impact.
- At least 4 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 and Ray, real-time processing such as Flink, and microservices architectures.
- Experience developing, training, productionizing, and monitoring ML solutions at scale.
- Deep understanding of modern ML algorithms such as DNNs, multi-task models, and transformers, along with mathematical optimization such as linear programming and convex optimization.
- Preferred experience developing pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior.
- Preferred experience leading complex technical projects, influencing scope and output, and driving multifunctional initiatives.
- Preferred experience with reinforcement learning and causal machine learning.
Benefits
- Base salary and eligibility for Uber’s bonus program and potential equity awards are provided according to location and role terms.
- Full-time employees are eligible to participate in a 401(k) plan and receive various benefits.
- The role is listed for locations in New York City, San Francisco, Seattle, and Sunnyvale.
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.