**About The Role** We are looking for a highly-motivated, entrepreneurial machine learning practitioner to join our Inferences team, which focuses on sensor-derived inferences to improve the logistical efficiency of Uber's platform. As a senior machine learning engineer on the team, you will develop and lead engineering initiatives that improve the experience and efficiency of the millions of trips and orders powered by Uber's platform every day. **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 Uber's logistical efficiency across its product verticals - Partner with product managers, scientists, designers, and engineers to develop holistic solutions to real world problems **Basic Qualifications** - 5+ years of experience in the domain of machine learning or backend engineering, or 2+ years if you have a PhD - Bachelor's degree or higher in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience **Preferred Qualifications** - 2+ years of experience in one or more of the following areas: machine learning, artificial intelligence, optimization, signal processing, operational research, or related technical fields - Experience developing and debugging in large scale data processing frameworks such as Apache Spark, Hive, and/or Presto - Knowledge of development and debugging in Java, Scala, or Golang, and experience with scripting languages such as Python and/or shell scripts - Experience in technical leadership, working with teams, owning projects, defining and setting technical direction for projects - Experience architecting large scale, production software applications - Experience productionizing applied machine learning solutions towards solving business or product challenges - Masters degree or PhD in Computer Science or a related technical field - Have extensive prior experience building and maintaining production machine learning systems - 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 For San Francisco, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 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](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://forms.gle/aDWTk9k6xtMU25Y5A). Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.