Senior Staff Machine Learning Infrastructure Engineer – Search & Discovery

Coupang Inc

Mountain View, United States
Base: $159,000pyear - $324,000pyear; bonus/equity:...
On-site
Ml model training pipelines
Scalable ml ranking system
Online ml inference services
As a Senior Staff Software Engineer, ML infra Engineer for Search & Discovery, you will be in charge of designing and implementing durable & efficient software solutions that handle massive volume of structured and unstructured data needed to train complex ML models and efficiently serve them online

Job Summary

  • As a Senior Staff Software Engineer, ML infra Engineer for Search & Discovery, you will be in charge of designing and implementing durable & efficient software solutions that handle massive volume of structured and unstructured data needed to train complex ML models and efficiently serve them online.
  • This role is an opportunity to build scalable offline and online ML platforms to support ranking and recommendation, and business decision making, handling billions of records of user interaction data and petabytes of raw log files.
  • 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, with a comprehensive benefits package including Medical/Dental/Vision, 401K with match, and generous PTO.

Matching Summary

As a Senior Staff Software Engineer, ML infra Engineer for Search & Discovery, you will be in charge of designing and implementing durable & efficient software solutions that handle massive volume of structured and unstructured data needed to train complex ML models and efficiently serve them online.

Salary

Base: $159,000/year - $324,000/year; Bonus/Equity: Not specified; Benefits: Medical/Dental/Vision/Life, 401K with Company Match, PTO, Paid Parental Leave

Skills & Requirements

Must-have

  • ML model training pipelines
  • Scalable ML ranking system
  • Online ML inference services
  • Big data engineering
  • Scalable serving systems
  • Python and/or Java proficiency

Nice-to-have

  • Startup culture with resources
  • Entrepreneurial drive
  • Hands-on impact
  • Cross-functional partnerships
  • Mentoring other engineers

Key Requirements

  • Bachelor's degree in CS, EE, Math, Stats
  • 8 years professional experience in applied ML
  • Experience in ML, deep learning, statistical modeling
  • Experience building production grade ML systems

Work Rights

Not specified

Tailored Resume

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