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Seattle, Washington, United States
Onsite
We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.
We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.
Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.
Role Overview
The Digital Trust Group at Coupang is the division responsible for safeguarding the company's global e-commerce platform through robust cybersecurity, data privacy engineering, and corporate IT security infrastructure. The group focuses on designing and implementing enterprise-wide security architectures—such as zero-trust access models, data loss prevention (DLP), and cloud security controls—while automating security processes to proactively mitigate risk across customer, merchant, and internal employee workflows.
What You Will Do
Build AI-Powered Investigation Systems
Develop AI workflows that automate investigation and analysis tasks.
Build agent-based systems that interact with internal tools, data sources, and knowledge repositories.
Improve reasoning quality, reliability, and performance of AI-driven workflows.
Implement human-in-the-loop review and feedback mechanisms.
Build Detection and Risk Analytics
Design and implement detection logic for suspicious or high-risk activity.
Develop risk signals, behavioral analytics, and anomaly detection capabilities.
Create systems that combine multiple telemetry sources into actionable intelligence.
Improve quality and coverage of existing detection capabilities.
Develop Data and Signal Pipelines
Build scalable batch and streaming pipelines for AI and analytics workloads.
Develop feature engineering workflows used by AI models and detection systems.
Create data products that support investigation, automation, and risk assessment.
Improve data quality, observability, and operational reliability.
Build Production AI Services
Design and implement APIs, backend services, and distributed systems that support AI applications.
Develop frameworks that make AI workflows easier to deploy, evaluate, and operate.
Monitor production systems and troubleshoot reliability or quality issues.
Participate in architecture discussions and contribute to technical design reviews.
Basic Qualifications
Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields
4 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
Preferred Qualifications
Experience working with machine learning, AI, data-intensive systems, or analytics platforms.
Strong understanding of distributed systems and cloud-native architectures.
Experience designing APIs and scalable services.
Ability to independently drive projects from requirements through production deployment.
Experience with LLMs, RAG systems, or AI agents.
Experience building fraud, trust and safety, identity, security, or risk systems.
Experience with feature engineering and large-scale data processing.
Familiarity with detection engineering, SIEM, SOAR, or security analytics platforms.
Experience deploying AI systems into production environments.
Knowledge of authentication, account security, or behavioral analytics
Pay & 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 this position ranges from $152,000/year to $261,000/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience.
General Description of All Benefits
General Description of Other Compensation
“Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary or wage scale.
Recruitment Process and Others
Recruitment Process
Details to Consider
Privacy Notice
Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender (including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at usrecruiting@coupang.com.
Job Requisition ID : R0081404
