Sr Software Engineer

Uber Uber · Consumer · New York, NY · Engineering

Senior Software Engineer at Uber focused on designing, developing, and deploying Machine Learning models for ranking and recommendation systems. The role involves building real-time data pipelines, feature engineering, model optimization, and optimizing inference for large deep learning models in a large-scale, real-world application context.

What you'd actually do

  1. Design, develop, and test software applications using company technology stack.
  2. Apply technical knowledge to evaluate complex data, developments, and projects in order to provide recommendations to resolve technical issues.
  3. Support the company's business operations and improve engineering productivity.
  4. Build software components that can be integrated into a fully functional software system.
  5. Solve production issues in product and system reliability.

Skills

Required

  • C++, Python, Java, GIT, or SVN
  • SQL or MySQL
  • Data structures and algorithms development and functionality
  • Designing technology stacks
  • Debugging and monitoring for production services
  • Distributed systems
  • Software Development Lifecycle
  • Deep learning, embedding model and recommendation systems
  • Deep learning Tools such as pytorch or tensorflow
  • Large-scale data mining and data processing using Spark
  • Optimizing inference for large Deep Learning models
  • Statistical Modeling

What the JD emphasized

  • design and build Machine Learning models in Ranking and Recommendation domain
  • Productionize and deploy these models for large-scale real-world application
  • design and build supporting/debugging tools as needed
  • Deep learning, embedding model and recommendation systems
  • Deep learning Tools such as pytorch or tensorflow
  • Large-scale data mining and data processing using Spark
  • Optimizing inference for large Deep Learning models

Other signals

  • design and build Machine Learning models in Ranking and Recommendation domain
  • Productionize and deploy these models for large-scale real-world application
  • design and build supporting/debugging tools as needed