Staff Machine Learning Engineer, Offsite Ads

Coupang•Mountain View, CA

2d•$164,000 - $282,000

About The Position

Coupang is hiring a Staff Machine Learning Engineer for Coupang Media Group’s Offsite Ads business. The role will define and build machine learning systems, optimization platforms, and AI-powered advertising products for Coupang’s growing offsite advertising business. Offsite Ads helps advertisers reach customers across the broader internet using Coupang’s commerce signals, first-party audience assets, and shopper-intent data. The position focuses on challenging advertising technology, including large-scale prediction systems, bidding optimization, auction dynamics modeling, generative retrieval, foundation models, LLM-powered advertising solutions, and agentic AI systems. The broader vision is to develop technology for an advertising ecosystem spanning DSPs, SSPs, ad exchanges, and AI-powered marketing solutions. The engineer will drive projects from concept through production, own measurable business outcomes, and help foster technical excellence and innovation.

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.
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 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 multiple 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 that support rapid experimentation and reliable model deployment.
Define success metrics, evaluate 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.
Lead projects from concept to production with ownership and accountability for business outcomes.
Mentor engineers and contribute to technical excellence, innovation, and continuous learning.