1 month ago
Seoul, Korea, SouthStaff+
Responsibilities
- Architect and deploy large-scale agentic AI systems with multi-agent orchestration, tool use, planning, memory, and autonomous reasoning using frameworks such as ReAct and LangGraph.
- Develop post-training reinforcement-learning and reward-modeling pipelines, including RLHF and RLAIF, to improve advertiser performance and shopper experience.
- Lead LLM fine-tuning, distillation, high-throughput serving, and low-latency inference infrastructure at scale.
- Analyze complex, large-scale advertising datasets and translate discovered patterns into measurable improvements in CTR, CVR, and tROAS attainment.
- Set long-term technical roadmaps and author Korean- and English-language technical design documents to align global product, infrastructure, and engineering stakeholders.
- Promote rigorous software engineering practices through code reviews, testing automation, CI/CD, scalable system design, and AI-assisted development workflows.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field.
- 10+ years of professional experience in applied machine learning, including designing, deploying, shipping, and scaling production ML systems.
- Hands-on experience designing and building agentic AI systems involving multi-agent orchestration, planning, memory, and autonomous reasoning pipelines.
- Proficiency in Python and production-grade engineering practices, including automated testing, code reviews, CI/CD, and scalable system design.
- Demonstrated technical leadership in setting direction, creating long-term roadmaps, mentoring engineers, and aligning cross-functional organizations.
- Strong communication skills and the ability to collaborate with global and multinational stakeholders in Korean and English.
- Preferred qualifications include a master’s or Ph.D., large-scale digital advertising expertise, post-training reinforcement-learning experience, LLM fine-tuning and distillation experience, serving and inference optimization, end-to-end model training and serving pipelines, Feature Stores, online/offline evaluation, A/B testing frameworks, large-scale data analysis, and experience with advanced coding agents such as Claude Code.
Benefits
- All interviews are conducted remotely by video; the recruitment process may vary by role and circumstances.
- The recruitment process consists of application review, interviews, and an offer, with the exact format subject to change.
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About Coupang
Coupang builds and operates a South Korea–focused e-commerce marketplace with an end-to-end logistics network (Rocket Delivery), plus food delivery, video streaming, and fintech under brands such as Coupang, Eats, and Play. Revenue comes from first-party retail, third-party marketplace services, advertising, and memberships (Rocket WOW). Founded in 2010, the company is headquartered in Seattle and is publicly listed on the NYSE (CPNG).