Sr Software Engineer

2 months ago


Sunnyvale, United States Uber Technologies, Inc. Full time

Sr Software Engineer - Machine Learning
Machine Learning, Engineering
Sunnyvale, California | San Francisco, California

About the Role

Uber Marketplace is at the core of Uber's business, and Rider Pricing & Incentives is a strategically critical component of Marketplace. The mission of the team is to foster growth and increase profitability of Uber by pushing the frontiers of machine learning, data science and economics and developing highly reliable and scalable platforms to accelerate Uber's impact on the transportation industry.

This role will drive high-impact projects to optimize rider pricing & incentives at Uber using optimization, machine learning, and causal inference. We are looking for individuals who not only excel in problem solving and critical thinking, but also are interested and proficient in writing production code, converting ideas to scalable systems.

What the Candidate Will Need / Bonus Points

---- 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.



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