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Design, build, deploy, and maintain large-scale workflow platform infrastructure (e.g., Temporal, Netflix Conductor). Ensure 99.995% reliability, capacity planning, benchmarking, monitoring/alerting, production incident response, and collaborate to make the platform extensible for high-throughput, low-latency backend services.

The Staff Machine Learning Engineer will design and develop machine learning systems for ad targeting and relevance at Coupang, innovating workflows and mentoring teams.

Provide legal guidance on AI-powered product features, conduct company-wide AI reviews, partner with engineering/product/security/privacy, communicate complex legal and technical concepts, and build scalable AI governance and compliance processes.

As a Staff Systems Engineer, you will develop scalable orchestration solutions using Kubernetes technology, ensuring reliable and automated application lifecycle management across cloud environments.

Lead the Search and Discovery Product Team by defining the vision and strategy, driving execution of product roadmaps, and ensuring high-quality delivery of unique customer experiences. Mentor junior PMs and collaborate cross-functionally. Analyze metrics and perform competitive analysis for continuous improvement.

Lead and oversee the development and operations of AI infrastructure orchestration, focusing on team management, strategic vision, and technology integration.

Lead integrated marketing campaigns across digital, content, email, social, and events to drive acquisition, engagement, and retention. Partner cross-functionally to define KPIs, analyze customer and market data, optimize performance, manage vendors, and mentor team members while improving processes and leveraging emerging technologies.

This role involves designing and building scalable ML systems for search and recommendation, transforming user data, and optimizing ML pipelines. The position also includes mentoring engineers and collaborating with cross-functional teams.

Lead development of Coupangs Search & Discovery mobile experience: build AI harnesses, ship high-quality iOS search components, collaborate with PMs and designers, run data-driven experiments (A/B tests), use analytics tools to inform product decisions, and maintain performant, scalable consumer-facing mobile features.

The role involves developing advanced AI solutions for e-commerce scenarios, designing algorithms, optimizing ML systems, and collaborating cross-functionally to drive innovations that enhance user experience.