2 months ago
Responsibilities
- Architect and deploy large-scale agentic AI systems with multi-agent orchestration, tool use, planning, memory, and autonomous reasoning pipelines.
- Build reward-based advertising optimization pipelines using post-training reinforcement learning such as RLHF, RLAIF, and reward modeling.
- Lead LLM fine-tuning, distillation, and high-throughput, low-latency serving and inference infrastructure.
- Analyze massive advertising datasets and translate discovered patterns into measurable improvements in advertising performance.
- Set long-term technical roadmaps for the Ads Growth organization and align global cross-functional stakeholders on architectural tradeoffs.
- Write comprehensive technical design documents in Korean and English.
- Promote rigorous software engineering through testing, automated CI/CD, code reviews, and robust system design.
- Accelerate AI development workflows using coding agents such as Claude Code.
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 shipping and scaling production ML systems.
- Hands-on experience designing and building multi-agent orchestration, planning, memory, and autonomous reasoning pipelines using technologies such as ReAct and LangGraph.
- Proficiency in Python and production-grade software engineering practices including testing, code reviews, CI/CD, and scalable system design.
- Experience setting technical direction and long-term roadmaps, mentoring engineers, and aligning cross-functional organizations.
- Strong communication skills for collaboration with global teams and multinational stakeholders.
- A master’s or Ph.D. in a relevant technical field is preferred.
- Deep expertise in large-scale digital advertising systems is preferred.
- Experience with post-training reinforcement learning, including RLHF, RLAIF, or domain-specific reward modeling, is preferred.
- Experience with LLM fine-tuning, distillation, and large-scale serving and inference optimization is preferred.
- Experience building end-to-end model training and serving pipelines, including feature stores, online/offline evaluation, and A/B testing frameworks, is preferred.
- Experience extracting insights from massive datasets and converting them into measurable advertising performance improvements is preferred.
- Experience using advanced coding agents such as Claude Code is preferred.
- Exceptional written communication and technical design-documentation skills are preferred.
Benefits
- All interviews are conducted remotely by video.
- The recruitment process may vary by role and scheduling circumstances.
- Eligible veterans and applicants with disabilities may receive hiring preference under applicable law.
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About Coupang
Coupang is a technology and Fortune 150 company listed on the New York Stock Exchange (NYSE: CPNG) that provides retail, restaurant delivery, video streaming, and fintech services to customers around the world under brands that include Coupang, Eats, Play, Rocket Now, and Farfetch.