Staff Machine Learning Engineer - Pricing & Incentives

Uber
Sunnyvale, United States of America
10 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 232K

Job location

Sunnyvale, United States of America

Tech stack

A/B testing
Big Data
Experimental Data
Machine Learning
Reinforcement Learning
Deep Learning
Information Technology

Job description

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.

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.

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, * 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

Benefits & conditions

For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

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