About the Role

We are looking for a highly-motivated software engineer to join our batch data IQ team, which focuses on providing machine learning/GenAI solutions to improve both Uber's data utilization productivity and large scale data processing efficiency. You will work on a variety of projects including GenAI applications, predictive machine learning models and infrastructure software engineering. It is a special opportunity for you to work in the cross-road of machine learning and data infrastructure and make a great impact on the company.

---- What the Candidate Will Do ----

1. Build predictive machine learning models for a range of applications to optimize uber's petabyte scale data processing system.

2. Work on a GenAI multiagent system to provide revolutionary tooling for thousands of internal users.

3. Collaborate with a world-class data infrastructure team, provide insights via data analysis, visualization and other investigations.

4. Explore novel ideas towards improving Uber's data storage and computation efficiency.

Basic Qualifications ----

1. 3+ years of experience in the domain of machine learning or backend engineering (at least 1 year of machine learning)

2. Bachelor's degree or higher in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

---- Preferred Qualifications ----

1. 2+ years of experience in one or more of the following areas: machine learning, artificial intelligence, optimization, statistics, or related technical fields

2. Experience developing and debugging in large scale data processing frameworks such as Apache Spark, Hive, and/or Presto

3. Knowledge of at least one of the following languages: C++, Java, Golang. Familiar with Python.

4. Experience productionizing applied machine learning solutions towards solving business or product challenges

5. Masters degree or PhD in Computer Science or a related technical field

6. Have extensive prior experience building and maintaining production machine learning systems

7. Knowledge with internal tooling or data/ML infrastructure

8. Experience with the recommendation system is a big plus.

9. Experience with LLM is not required but would be a big plus

For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For all US locations, 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