Sr. Staff, Machine Learning Engineer

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Sr. Staff, Machine Learning Engineer in Others

Coupang
Full time
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Others
08/19/2026
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Seoul, Korea

Responsibilities

Own Coupang’s Recommendation service and its customer impact.
Collaborate with global teams to co-build a world-class recommendation system.
Analyze large volumes of customer behavior data to generate actionable insights.
Develop machine learning models and features for new and improved recommendation algorithms.
Create data jobs to generate machine learning features, build and train models, run experiments, and launch new models.
Mentor and grow engineers across teams.

Requirements

Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a closely related field.
8+ years of professional experience applying AI/ML to large-scale, complex datasets.
Ability to derive actionable insights from complex datasets and solve business-critical problems using advanced AI/ML technologies.
Demonstrated experience as a company-wide technical leader driving cross-functional collaboration and large-scale, high-impact solutions.
Proven track record of launching successful algorithms that drive measurable business impact.
Professional proficiency in Python and/or Java with relevant industry experience.
Professional proficiency in English and excellent communication skills.
Preferred: Ph.D. or Master’s degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related science major.
Preferred: Experience with recommendation or search systems.
Preferred: Experience with LLMs, PLMs, and embedding models.
Preferred: Experience with AWS, GCP, and services such as Vertex AI.
Preferred: Industrial experience with online serving systems operating at scale.

Coupang

Coupang is a technology and Fortune 150 company listed on the New York Stock Exchange (NYSE: CPNG) that provides retail, restaurant delivery, video streaming, and fintech services to customers around the world under brands that include Coupang, Eats, Play, Rocket Now, and Farfetch.

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