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Coupang Internal

Staff Data Scientist (SCM)

Coupang Internal · Taipei, Taiwan

Posted about 2 months ago

or apply directly on Coupang Internal's site. We never take the application ourselves.

Is this posting real?

This role has been open
56 days
Coupang Internal's roles stay open a median of 64 days
Reposted
No
Salary listed
No
0% of Coupang Internal's roles list one
Ghost-job risk at Coupang Internal
high
321 stale, 8 reposted of 468 open
Hiring momentum
741 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from Coupang Internal's own greenhouse board since 2026-08-03. Full hiring picture for Coupang Internal.

About this role

As a Staff Machine Learning Engineer at Coupang, you will work closely with Data Scientists to transition experimental models into production-ready systems. Your responsibilities include designing deployment processes, building data pipelines, implementing ML infrastructure, and optimizing existing solutions to ensure high performance. This role emphasizes collaboration and the establishment of best practices in MLOps to support scalable business growth.

Our read on this posting2.2out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Coupang Internal as an employer.

What you need

  • Bachelor's/Master's degree in computer science, software engineering, industrial engineering, or any other quantitative disciplines
  • 5+ years of relevant software/ML engineering experience in industry
  • Hands-on experience in MLOps and model deployment lifecycle, including code refactoring, containerization (Docker, Kubernetes), and model hosting strategies
  • Solid proficiency in Python, SQL, and distributed data processing frameworks (e.g., Spark, Hive)
  • Practical experience in setting up and standardizing ML foundations, such as feature stores and data versioning tools
  • Strong software engineering best practices, including version control (Git), CI/CD pipelines, code testing, and clean architecture design

Nice to have

  • Demonstrated experience working side-by-side with Data Scientists in an applied research or advanced analytics environment
  • Familiarity with building and deploying lightweight or moderate-complexity machine learning models
  • Experience evaluating and implementing internal tooling and lightweight frameworks to streamline DS workflows
  • A deep understanding of the e-commerce or supply chain domain

Worth weighing

  • No salary listed
  • Role involves building foundational systems from scratch, which may require significant initial effort
  • The recruitment process includes multiple interview stages, which may be time-consuming

Summarised from Coupang Internal's posting. Read the full original.

Listed by Coupang Internal on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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