About the Role
We are looking for a highly-motivated, entrepreneurial machine learning practitioner to join our Autonomous Optimization team, which maximizes marketplace value of autonomous vehicles across Uber's Rides and Delivery platforms. As a senior machine learning engineer on the team, you will pioneer engineering, modeling, and optimization initiatives that bring autonomous vehicles into sustainable, general availability.
What You Will Do
Work on solving complex inferences and optimization problems end-to-end, from problem ideation and model design to productionization
Design and productionize high-throughput systems to deploy inferences and predictions used by millions of users per day
Explore novel ideas towards improving the operational efficiency and value of autonomous vehicles and robots across Uber's platforms
Partner with product managers, scientists, designers, and engineers to develop holistic solutions to real world problems
Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
Have the ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
Basic Qualifications
Bachelor's degree or higher in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
4+ years of experience in the domain of machine learning or backend engineering, or 2+ years if you have a PhD
2+ years of experience in one or more of the following areas: machine learning, artificial intelligence, optimization, operational research, or related technical fields
Knowledge of development and debugging in Java, Scala, or Golang, and experience with scripting languages such as Python and/or shell scripts
Preferred Qualifications
Experience designing, building, and maintaining production machine learning systems
Experience developing and debugging in large scale data processing frameworks such as Apache Spark, Hive, and/or Presto
Experience architecting large scale, production software applications
Experience productionizing applied machine learning solutions towards solving business or product challenges
For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 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 https://www.uber.com/careers/benefits.
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://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform