As our Senior Staff ML Infra Software Engineer for  the Search & Discovery organization, you will be in charge of designing and implementing durable & efficient platform solutions that handle massive volumes of structured and unstructured data for our machine learning efforts. 

The Search & Discovery organization is responsible for optimizing customers’ navigation experience and driving long-term growth. Every week more than 20 million customers use search in our app or on coupang.com, more than one third of them make purchases. Over half of the Coupang sales are directly attributed to search and recommendation. Many business initiatives and growth strategies are driven or boosted by ranking and recommendation. 

This role is an opportunity to build a solid infra foundation to support ranking and recommendation, and business decision making. You will be handling billions of records of user interaction data, and petabytes of raw log files, and transforming them into data objects that can be easily consumed by engineers and scientists. There are so many things to analyze, to design, and to build. If you are passionate about big data engineering and machine learning technology, you want to make real business impact, and you are a true problem solver, this is the right job for you. 

What You Will Do 

  • Proactively drive the execution of end-to-end data platform, data quality roadmap for Search & Discovery ML efforts 

  • Take ownership, consolidate and optimize the Search & Discovery core data logging, processing, and ML model training pipelines  

  • Drive design and implementation of durable & efficient platform solutions that serve ML model with low latency 

  • Develop and scale infrastructure that powers multiple ML experiments running in parallel with monitoring and debugging capabilities. 

  • Build strong cross-functional partnerships with Data Scientists, Analysts, Product Managers, Indexing Platform Engineers, Ranking Engineers and Data Platform Engineers to understand & deliver training and serving needs  

  • Research, analyze and select technical approaches for solving difficult and challenging development and integration problems, coach and mentor other engineers in process and methodologies 

Basic Qualifications   

  • BS or MS degree in Computer Science or related field, or equivalent practical experience  

  • 8+ years of experience  

  • Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning)  

  • Software engineering fundamentals: version control systems (i.e Git, Github) and workflows, and the ability to write production-ready code  

  • Expert experience with Big Data tools and ETL frameworks (Hadoop, Hive, Presto, Spark, Scala, Apache Airflow, etc.)  

  • Knowledgeable of modern online serving technologies such as gRPC, ProtoBuffer, Caching, etc.  

  • Experience deploying highly robust and scalable data pipelines processing petabytes of data  

  • Experience with integrating applications and platforms with cloud technologies (i.e, AWS and GCP)  

  • Strong verbal and written communication skills  

  • Ability to conduct meetings and make professional presentations, and explain complex concepts and technical material to non-technical users  

  • Experience with machine learning platform for search & discovery related rankings is a strong plus   

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  usrecruiting@coupang.com 

Salary

$159,000 - $324,000

Yearly based

Location

Seattle, USA

Job Overview
Job Posted:
3 weeks ago
Job Expires:
Job Type
Full Time

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