Sr Software Engineer - Machine Learning

    • Uber Corporate
  • San Francisco, CA
  • Posted 40 days ago | Updated 6 hours ago

Overview

On Site
USD 185,000.00 - 205,500.00 per year
Full Time

Skills

C++
Machine Learning (ML)
Data Science
Problem solving
Critical thinking
Computer science
Pricing
Economics
IMPACT
Transportation
Optimization
Microsoft Excel
Writing
Modeling
Collaboration
Mathematics
Software development
C
Java
Python
Algorithms

Job Details

About the Role

Uber Marketplace is at the core of Uber's business, and Rider Pricing & Incentives is a strategically critical component of Marketplace. The mission of the team is to foster growth and increase profitability of Uber by pushing the frontiers of machine learning, data science and economics and developing highly reliable and scalable platforms to accelerate Uber's impact on the transportation industry.

This role will drive high-impact projects to optimize rider pricing & incentives at Uber using optimization, machine learning, and causal inference. We are looking for individuals who not only excel in problem solving and critical thinking, but also are interested and proficient in writing production code, converting ideas to scalable systems.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----
  • Innovate on ML + optimization solutions to solve high-impact business problems
  • Productionise modeling solutions into scalable and robust systems
  • Collaborate with cross-functional and cross-team stakeholders
---- Basic Qualifications ----
  • Bachelor's degree in Computer Science, Engineering, Mathematics or related field, with 5+ years of full-time engineering experience
  • Programming language (e.g. C, C++, Java, Python, or Go)
  • Experience with machine learning and optimization algorithms
---- Preferred Qualifications ----
  • PhD in Computer Science, Engineering, Mathematics, Statistics or related field, with 2+ years of full-time engineering experience
  • Experience with taking on vague business problems, translating them into ML + Optimization formulation, identifying the right features, model structure and optimization constraints, and delivering business impact
  • Experience with large-scale training and data systems (e.g. Spark/Hive)
  • Experience with building algorithmic solutions in production, making practical tradeoffs among algorithm sophistication, computation complexity, maintainability, and extensibility in production environments
For San Francisco, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 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. You will also be eligible for various benefits. More details can be found at the following link .

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing .

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.