Uber Sr Software Engineer - Machine Learning 

United States, West Virginia 

913652646

About the Role

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

• Innovate on ML + optimization solutions to solve high-impact business problems
• Productionise modeling solutions into scalable and robust systems
• Collaborate with cross-functional and cross-team stakeholders

- - - - Basic Qualifications ----

• Bachelor’s degree in Computer Science, Engineering, Mathematics or related field, with 5+ years of full-time engineering experience
• Programming language (e.g. C, C++, Java, Python, or Go)
• Experience with machine learning and optimization algorithms

- - - - Preferred Qualifications ----

• PhD in Computer Science, Engineering, Mathematics, Statistics or related field, with 2+ years of full-time engineering experience
• Experience with taking on vague business problems, translating them into ML + Optimization formulation, identifying the right features, model structure and optimization constraints, and delivering business impact
• Experience with large-scale training and data systems (e.g. Spark/Hive)
• Experience with building algorithmic solutions in production, making practical tradeoffs among algorithm sophistication, computation complexity, maintainability, and extensibility in production environments

For San Francisco, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year.