Coupang is hiring a

Staff Machine Learning Engineer (Growth Engineering)

Seattle, United States

Coupang is one of the largest and fastest-growing consumer internet companies in the world. Powered by 
innovative technology and operations, we have set out to transform the customer experience journey—
from revolutionizing last-mile delivery to rethinking how customers search and discover on a truly mobile 
platform. We have been named one of the ‘50 Smartest Companies in the World’ by MIT Technology 
Review and we are one of Forbes magazine’s ‘30 Global Game Changers’.

In Growth Engineering, our goal is to increase the number of transacting Customers while also growing their purchase frequency and lifetime value. We build core platforms and services that power Coupang’s growth. Various platforms under our portfolio include Search Advertising Platform, Affiliate Platform, Display targeting & re-targeting Platform, CRM, Audience Platform, Push Marketing Platform, and other core marketing services for landing, tracking & attribution. ML opportunities across these portfolios include targeting, personalization, product & offer recommendations, budget optimization, real-time bidding, creative optimization, fraud detection, and various others.


You will play a critical role in driving innovation in Machine Learning enablement of Growth / Marketing platforms. You will design & develop end to end machine learning solutions to drive impact across our portfolio of platforms. You will collaborate with various Growth Engineering teams to build and deploy ML models & services that will directly help grow customers, increase wallet share and improve ROAS. This is an exceptional opportunity to drive Coupang’s growth and create a world where our customers ask, ‘How did I ever live without Coupang?’

What You Will Do   

  • Drive end-to-end Engineering and Machine learning methods that have a high degree of ambiguity, scale and complexity  
  • Build machine learning models, perform proof-of-concept, experiment, optimize and deploy your models into production.  
  • Establish scalable, efficient, automated processes for data analysis, machine-learning model development, model validation and serving.  
  • Present results and explain methods to the leadership.  
  • Mentor junior engineers on the team and partner teams and help to uplevel ML talent across the company.  

  Basic Qualifications   

  • 8+ years working experience in the engineering teams that build large-scale ML-driven user-facing products   
  • Extensive knowledge in deep learning 
  • Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc.  
  • Hands-on experience training and applying models at scale.  
  • Proficient coding skills in Java, C++ or Python   
  • Masters or PhD in Comp Sci or related fields 

Preferred Qualifications   

  • Experience in working on, backend and ML systems for large-scale user-facing products, and have a good understanding of how they all work.  
  • Experience in closely collaborating with other engineering teams to ship new ML technologies.  
  • The ideal candidate will possess the self-motivation, curiosity, creativity and initiative to achieve goals. 

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.   

  

Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ,ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate. Coupang is also committed to providing a safe work environment for its employees and its consumers.  

 If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability, please contact us at   [email protected]  .     

 

Apply for this job

Please mention you found this job on AI Jobs. It helps us get more startups to hire on our site. Thanks and good luck!

Get hired quicker

Be the first to apply. Receive an email whenever similar jobs are posted.

Ace your job interview

Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.

Staff Machine Learning Engineer Q&A's
Report this job
Apply for this job