Senior Software Engineer - Backend

About The Role

You will be a Senior Software Engineer in the Machine Learning Platform team and involved in the development and implementation of the infrastructure layer for multi-modal data processing and ML. The ideal candidate will be able to identify issues, provide solutions and implement the fixes as well as setting a high technical excellence bar in all things we do. You'll be able to collaborate across Platform Engineering teams which include areas such as networking, storage, compute, big data and cloud engineering.

What The Candidate Will Need / Bonus Points

Design and deliver software and tools as part of our state-of-the-art Machine Learning platform

• Systems architecture design, including management of upstream and downstream dependencies
• Provide technical leadership, influence and partner with fellow engineers to architect, design and build scalable solutions for ML technology that can stand the test of scale and availability, while reducing operational overhead
• Build batch processing pipelines, search infrastructures for large volumes of multi-modal data
• Participate in periodic on-call rotations and be available for critical issues
• Collaborate with platform, product and security engineering teams, and enable successful use of the latest AI techniques.
  
  

Basic Qualifications

• 5 years of working experience in the software engineering industry
• Bachelor degree in computer science, computer engineering or related fields
• Proficient in Python and Linux
• Proficient in batch cloud computing and storage technologies
  
  

Preferred Qualifications

• Master or PhD degree in computer science, computer engineering or related fields
• Proficient in Ray or Spark.
• Experience in Data/AI/ML platform.
  
  

For Sunnyvale, 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.