Uber Senior Machine Learning Engineer 

United States, West Virginia 

826478838

What the Candidate Will Do:

• Innovate on ML + optimization solutions to solve high-impact business problems
• Productionize 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
• 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
• Programming language (e.g. C, C++, Java, Python, or Go)
• 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)

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.