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Senior Software Engineer (Machine Learning), San Francisco, California

Created01/14/2022
Reference110612
CategoryEngineering
CountryUnited States
StateCalifornia
CitySan Francisco
Zip94102
SalaryCompetitive
As a Senior Machine Learning Engineer, you will collaborate with customers to design, develop, optimize, and productionize machine learning (ML) or ML-based solutions and systems that are used within a team to solve complex problems with multiple dependencies. This role also leads team efforts toimprove ML infrastructure for model development, training, deployment needs and scaling ML systems.

This role is on the TripContext team within the Maps organization. As a Senior Machine Learning Engineer on the TripContext team, you will be working with a wide range of sensor data (IMU, GPS, audio, etc...) and analytic events to develop inferences that enable some of the most important parts of Uber's business - safety, pickup experience, drop-off experience, Uber Eats delivery and more.

We create meaningful insights that our partner product teams (Rider, Driver, Eats, Safety et al) use to improve customer and trip experiences. We do this by researching new models and algorithms and building platforms to serve our insights to customers at Uber scale. Our systems stream more than 10 TB of data a day, producing inferences like crash detection and other trip events that improve the Uber experience for riders, drivers, eaters, and couriers. You will be working with some of the world's most experienced engineering professionals, data scientists, and research scientists on user-facing products with global impact. This is your chance to develop ground breaking technology that will touch every Uber trip!

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 10,000 cities around the world.

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A).
EmployerUber