coupang

Staff Machine Learning Engineer, Ads

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At a Glance

Location
Mountain View, United States
Posted
2026-05-14T21:03:06-04:00

Key Requirements

Required Skills

AWSDeep LearningGCPJavaMachine LearningPyTorchPythonTensorFlow

Domain Knowledge

  • Engineering

Requirements

6 years of professional experience in applied machine learning

Experience in machine learning, deep learning, and statistical modeling

Proficiency in Python and/or Java, with experience in building production grade ML systems

Experience with search systems, information retrieval or recommendation engines

Experience with LLMs, embeddings, and vector search technologies

Experience with cloud platforms such as AWS, Google Cloud Platform including services like Vertex AI, BigQuery or SageMaker

Compensation & Benefits

Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation.

The base pay for Staff position ranges from $164K/year to $282K/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

Annual bonus is 0-20% of the base salary

Medical/Dental/Vision/Life, AD&D insurance

Flexible Spending Accounts (FSA) & Health Savings Account (HSA)

Responsibilities

As our Staff Machine Learning Engineer for Coupang Media Group, Ads Quality, you will be responsible for developing, designing machine learning models, optimization algorithms and new product features for our advertising platform.

The Coupang Media Group (CMG) is responsible for providing vendors that sell their products on Coupang a host of marketing products and services.

We launched Product Ads performance advertising marketplace late in 2018.

We have grown rapidly to over 10,000 active advertisers and 150M daily ad impressions in only 5 months’ time.

Our group is responsible for advertising brands and products inside our e-commerce website.

To get an idea of how valuable that is, both Alibaba and Amazon make more money on advertising than on selling products.