Director – Ranking Engineering
Confirmed live in the last 24 hours
Coupang

5,001-10,000 employees

South Korean e-commerce platform disrupting traditional commerce
Company Overview
Coupang stands out as a leader in South Korean commerce, consistently disrupting the industry with its customer-centric approach and rapid launch of new services. The company fosters an entrepreneurial culture, providing opportunities for employees to drive initiatives and make a tangible impact, while also offering the stability and resources of a large global public company. With a mission to redefine commerce, Coupang is committed to pushing the boundaries of what's possible, ensuring continuous growth and development for the company and its employees.
Consumer Goods

Company Stage

Series C

Total Funding

$3.4B

Founded

2010

Headquarters

Songpa-gu, South Korea

Growth & Insights
Headcount

6 month growth

9%

1 year growth

18%

2 year growth

31%
Locations
Mountain View, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
AWS
CategoriesNew
AI & Machine Learning
Applied Machine Learning
AI Research
Requirements
  • Master's degree in Computer Science, Mathematics, or related science majors, Ph.D. strongly preferred
  • 10+ years experience working with large-scale, complex datasets to create and optimize machine learning models
  • 3+ years management experience
  • Deep knowledge in machine learning, deep learning, and statistical modeling
  • Experience with advertising systems/Search advertising/Advertising Marketplace
  • Experience working with AWS (Amazon web services)
  • Experience working in startups
Responsibilities
  • Define the long-term strategy and vision of the ads ranking models and oversee the design in conjunction with the engineering team
  • Recruit and coach individual contributors and managers across the ads org and develop that talent to create a world class engineering team
  • Manage and execute against project plans and deliver commitments
  • Work closely with the senior management team to ensure that development plans, resources, and strategies are coordinated across all departments in a cohesive and collaborative fashion
  • Lead your team to develop state-of-the-art (SOTA) Machine Learning models and features, applying rigorous offline and online testing methodology
  • Architect our machine learning platform at at internet scale