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Coupang

Sells goods online with its own overnight delivery

Staff AI Engineer

Applied Machine LearningPosted on Nov 12
Full-timeSeattle, WA, USAIn-person

About the Job

Requirements

  • A bachelor's degree in computer science, electrical engineering, mathematics, statistics, or a closely related field.
  • At least 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 building production-grade machine learning systems.

Responsibilities

  • Develop AI workflows that automate investigation and analysis tasks.
  • Build agent-based systems that interact with internal tools, data sources, and knowledge repositories.
  • Improve the reasoning quality, reliability, and performance of AI-driven workflows.
  • Implement human-in-the-loop review and feedback mechanisms.
  • 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 the quality and coverage of existing detection capabilities.
  • 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.
  • 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.

Desired Qualifications

  • Experience working with machine learning, AI, data-intensive systems, or analytics platforms.
  • A 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 large language models, retrieval-augmented generation 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, security information and event management (SIEM), security orchestration, automation and response (SOAR), or security analytics platforms.
  • Experience deploying AI systems into production environments.
  • Knowledge of authentication, account security, or behavioral analytics.

About the Company

Coupang

Sells goods online with its own overnight delivery

Coupang runs one of South Korea's largest online stores, selling groceries, electronics, household goods and fashion to consumers and small businesses. Rather than relying on outside carriers, it delivers most orders through its own warehouses and drivers, and its Rocket Delivery service brings millions of items to doorsteps overnight or the same day. Shoppers order through the Coupang app or website, and the company earns money from its own retail sales, commissions and fulfillment fees from outside sellers, and a paid membership. Coupang was founded in Seoul in 2010 and is headquartered in Seattle, with most of its operations and staff in South Korea.

Company size
10,001+
Company stage
IPO
Headquarters
Seattle, WA
Founded
2010

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