Staff Machine Learning Engineer, Offsite Ads

Coupang•Mountain View, CA

About The Position

As a Staff Machine Learning Engineer for Coupang Media Group’s Offsite Ads business, you will define and build machine learning systems, optimization platforms, and AI-native advertising products. Offsite Ads helps advertisers reach customers across the broader internet using Coupang’s commerce signals, first-party audience assets, and understanding of shopper intent. The business has grown rapidly since its inception in 2025, and Coupang is investing in machine learning, AI infrastructure, and advertising technologies to scale it. The role addresses challenges such as prediction systems, bidding optimization, auction dynamics, generative retrieval, foundation models, LLM-powered advertising, and agentic AI. The longer-term vision includes technology for a broader advertising ecosystem spanning demand-side platforms, supply-side platforms, ad exchanges, and AI-powered marketing solutions.

Requirements

Bachelor’s degree in Computer Science, Machine Learning, Statistics, Mathematics, Electrical Engineering, or a related quantitative field.
At least 6 years of industry experience developing and deploying machine learning solutions in production environments.
Strong foundation in machine learning, deep learning, statistical modeling, optimization, and large-scale data systems.
Hands-on experience developing production-grade machine learning systems using Python and/or Java.
Strong experience with PyTorch and modern deep learning architectures for prediction, ranking, recommendation, retrieval, or optimization.
Ability to solve complex and ambiguous business problems through data-driven analysis and machine learning innovation.
Track record of owning large technical initiatives and delivering measurable business impact.

Nice To Haves

Master’s degree or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related field.
Experience in digital advertising, recommendation systems, ranking systems, marketplace optimization, or large-scale machine learning.
Experience with LLMs, generative AI, embedding models, retrieval systems, or agentic AI.
Strong expertise in PyTorch and developing large-scale production machine learning systems.
Experience with distributed training, model serving, and machine learning platforms in cloud environments.
Familiarity with tools and frameworks such as PyTorch, XGBoost, LightGBM, Scikit-learn, MLflow, Kubeflow, Spark, and Airflow.
Ability to solve ambiguous problems, drive technical strategy, and deliver measurable business impact.
Strong communication and collaboration skills, including the ability to influence stakeholders across functions.
Comfort operating in a fast-paced, high-growth environment with ownership and customer focus.

Responsibilities

Design and build machine learning models and systems to improve ad targeting, ranking, bidding, and campaign performance across the Offsite Ads platform.
Develop large-scale prediction and optimization models, including CTR, CVR, GMV, and bidding optimization.
Apply LLMs, embeddings, agentic AI, deep learning, and other modern AI technologies to advertising challenges.
Build scalable machine learning infrastructure and production systems for rapid experimentation and reliable model deployment.
Define success metrics, assess business impact, and improve model performance through data-driven experimentation.
Partner with Product, Engineering, Data Science, and business teams to address customer and advertiser problems.
Drive projects from concept through production and take ownership of business outcomes.
Mentor engineers and contribute to technical excellence, innovation, and continuous learning.