Uber Staff ML Engineer 

United States, West Virginia 

709601146

About the Role

It is a challenging yet rewarding job. You will have a lot of opportunities to work with product managers, data scientists and of course engineers from other teams. You will participate in the whole development cycle of a software product from product scoping, architecture design, software implementation, to productionisation, and learn how to iterate a product for greater success.

What the Candidate Will Do:

• Build backend ML systems & data processing pipelines that will simulate and optimize Uber’s pricing strategies.
• Collaborate with data science and engineering teams to identify issues, brainstorm solutions, scoping, designing, implementing and testing improvements.
• Analyze ML model performance and propose ways to improve. Dive deep into the data queries and pipelines to root cause data quality issues.
• Write high-quality, modular and maintainable code and constantly improving code quality through refactoring and/or advocating for best practices.
• Review code and designs and provide feedback.

Basic Qualifications:

• Experience in using Python (pandas, scipy, or numpy, etc) for scientific computations and object-oriented programming.
• Experience in using SQL (Presto, Hive, or Spark, etc) for data querying and ETL.
• Experience in applying machine learning models to solve real-world problems.

Preferred Qualifications:

• PhD or MS in Computer Science, Engineering, Mathematics or related field
• Minimum 5 years of Machine Learning Engineering work experience.
• Experience in optimization problem solving, deep learning, and/or causal inference.
• Experience working with Generative AI

For San Francisco, CA-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 per year.