Uber Senior Staff Machine Learning Engineer - Marketplace Pricing & Incentives 

United States, West Virginia 

533300409

What You Will Do:

• Work with product, data science, and eng leadership to shape the technical roadmap and problem formulations for the team.
• Leverage algorithmic knowledge in machine. learning/optimization/statistics to design robust engineering solutions to positively impact Uber's business.
• Shape the MLE role and uplevel MLE talents in the org.
• Be responsible for the End to End of the product - ML model pipeline & system design, implementation, AB testing, and rollout. Work with the team to productionize the solutions at scale.

Basic Qualifications:

• PhD or equivalent in Computer Science, Engineering, Mathematics or related field
• 7-years full-time Software Engineering work experience in leveraging machine learning/statistics/optimization to build models in production
• Collaborative and work well with, and contribute to, a team

Preferred Qualifications:

• Experience building algorithms with large scale data
• Track record of building large-scale, highly-available systems for both batch and streaming
• Deep domain expertise and are one of the recognized specialists in one or multiple areas like reinforcement learning, personalization, or deep learning.
• Experience working on large scale Machine Learning platforms

For San Francisco, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year.