Staff Machine Learning Engineer - Pricing & Incentives

Uber • Sunnyvale, CA

114d • $223,000 - $248,000

About The Position

The role will be within the pricing and incentives domain in Uber's marketplace team. The team charter spans incentive allocation and optimization to balance the market and optimize revenue, dynamic trip pricing based on marketplace conditions. The role will provide an opportunity to work on some of the most strategic marketplace problems at Uber scale that impact Uber's global business very directly.

Requirements

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

Nice To Haves

• 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 in combining observational data with experimental data for building causal models.
• Experience working on large scale Machine Learning platforms

Responsibilities

• 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.

Benefits

• Eligible to participate in Uber's bonus program
• May be offered an equity award & other types of compensation
• Various benefits as detailed on Uber's careers benefits page

What This Job Offers

• Career Level: Senior
• Industry: Transit and Ground Passenger Transportation
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees