Staff Machine Learning Engineer, Core Services Eng (GenAI)

자율형 support agent의 end-to-end 아키텍처 설계 및 운영, agentic planning/execution loop·long-term memory·persona/voice·knowledge routing·policy enforcement 구현, retrieval & reasoning 파이프라인 구축, LLM-as-judge 포함 평가 체계 설계 및 CI/CD 연동, Product/Design/Operations와 협업한 rollout/localization/policy alignment 추진, 여러 pod 멘토링 및 기술 전략/품질 기준 수립

필수: 7+ years building production ML/AI systems, 2+ years leading complex ML initiatives end-to-end, deep expertise in LLM-driven systems(inference optimization, prompt/program design, fine-tuning, distillation/LoRA, safety/guardrails, evals), customer-facing intelligent experiences with measurable impact(A/B testing, metrics literacy), Bachelor's Degree or above in Comp Science or related field. 우대: agentic architectures in production(planner/executor, memory, multi-step reasoning), RAG over complex policy-heavy knowledge bases, support automation for large consumer platforms(routing, policy codification, internal tooling, co-pilot/auto-resolve), multilingual NLU/NLG(code-switching, low-resource languages), hallucination mitigation, safety red-teaming, privacy-by-design, experiment frameworks, feature flags, canary/guarded rollouts, kill-switches.