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Full-Time

Senior Optimization/ML Engineer

Dynamic Pricing, Surge

Confirmed live in the last 24 hours

Uber

Uber

10,001+ employees

Rides, deliveries, and freight services platform

Consumer Software
Data & Analytics

Compensation Overview

$185k - $205.5kAnnually

+ Bonus + Equity Award

Senior

San Francisco, CA, USA

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
Python
Data Structures & Algorithms
Data Analysis
Requirements
  • Ph.D., M.S. or Bachelors degree in Machine Learning, Operations Research, or other quantitative fields
  • Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics
  • Ability to model complex real-world problems using pragmatic mathematical formulations
  • Ability to use Python to work efficiently at scale with large data sets
Responsibilities
  • Build statistical, optimization, and machine learning models for a range of applications in the pricing algorithms space
  • Implement ideas in production systems
  • Design and execute product experiments and interpret the results
  • Collaborate with cross-functional teams to drive system development end-to-end from ideation to productionization

At Uber, employees are at the forefront of redefining mobility and logistics services, working with cutting-edge technology to streamline the transportation of both people and goods. This company fosters a dynamic work environment that supports flexible earning opportunities and continuous innovation in essential services. The commitment to constantly reimagine and reinvent its services makes it a leader in the industry, providing an invigorating setting for professionals who thrive in fast-paced and evolving workspaces.

Company Stage

IPO

Total Funding

$24.8B

Headquarters

San Francisco, California

Founded

2009

Growth & Insights
Headcount

6 month growth

8%

1 year growth

8%

2 year growth

6%