Senior Staff Machine Learning Engineer

Coupang, Inc.
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Job Description

This is an opportunity to be part of an organization with strong revenue potential inside a successful company. The team consists of machine learning engineers, data scientists, economists and software developing engineers with highly collaborative culture. 

What You Will do: 

  • Work with product team, sales team, and other stakeholders to formulate the business problems into machine learning and data analysis projects.
  • Design features and build large-scale machine learning models and systems.
  • Perform statistical analyses to improve advertiser benefit and our ads revenue.
  • Find new opportunities to expand our ads business to new customers/products with data and machine learning model supports.
  • Effectively collaborate with other roles, including machine learning engineers, data scientists, economists and software developing engineers, to lead projects within or across team.
  • Solve ambiguity and act as consultant in ML model related problems across team.
  • Mentor the junior team members.

Basic Qualifications: 

  • Master or Ph.D. degree in quantitative fields, such as computer science, statistics, electrical engineering, mathematics or equivalent experience.
  • 5+ years (for Ph.D.) or 8+ years (for other degrees) of industry experience working with large-scale, complex datasets to create and optimize machine learning models.
  • Strong problem-solving skills. Track record of diving into data to discover hidden patterns and solving problems with data science, launching successful features and improving business metrics.
  • Ability and experience to write robust and efficient code using Java, Python, etc for model prototypes and working with software engineers for productionizing them.
  • Strong ownership and ability to lead project end to end; Good communicator, both to technical and business audiences. 
  • Ability to work in multicultural, cross functional team, and to deal with ambiguity in business and technology.

Preferred Qualifications: 

  • Ph.D. in quantitative fields is strongly preferred.
  • 3+ year experience with advertising or ecommerce industry.

Pay & Benefits    

Our compensation reflects the cost of labor across several US geographic markets. At Coupang, your base pay is one part of your total compensation.  

The base pay for this position ranges from $159,000/year in our lowest geographic market to $324,000/year in our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.  

  General Description of All Benefits  

  • Medical/Dental/Vision/Life, AD&D insurance   
  • Flexible Spending Accounts (FSA) & Health Savings Account (HSA)  
  • Long-term/Short-term Disability  
  • Employee Assistance Program (EAP) program  
  • 401K Plan with Company Match  
  • 18-21 days of the Paid Time Off (PTO) a year based on the tenure  
  • 12 Public Holidays  
  • Paid Parental leave  
  • Pre-tax commuter benefits  
  • MTV - [Free] Electric Car Charging Station 

General Description of Other Compensation 

 “Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.  

Company Info.

Coupang, Inc.

Coupang is a South Korean e-commerce company based in Seoul, South Korea, and incorporated in Delaware, United States. Founded in 2010 by Bom Kim, the company expanded to become the largest online marketplace in South Korea. Its expansion led the company to the video streaming distribution after the launch of the service Coupang Play. Coupang is often referred to as the Amazon of South Korea, due its position and corporate size.

  • Industry
    E-commerce
  • No. of Employees
    68,000
  • Location
    Jamsil-dong, Songpa-gu, Seoul, South Korea
  • Website
  • Jobs Posted

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Coupang, Inc. is currently hiring Senior Staff Machine Learning Engineer Jobs in Seattle, WA, USA with average base salary of $159,000 - $324,000 / Year.

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