고객 지원용 챗봇과 에이전트 워크플로우를 연결하는 오케스트레이션 계층을 설계하고 구현해요. 머신러닝 및 소프트웨어 엔지니어링 분야에서 2년 이상의 실무 경험이 필수이며, Python을 활용한 프로덕션 수준의 서비스 개발 능력이 필요해요. 분기별로 진행되는 대면 근무 세션에 참여해야 하며, 6개월 동안 최대 3번까지만 지원할 수 있어요. LLM 프레임워크와 딥러닝 아키텍처에 대한 실무 경험이 있어야 해요.
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The CX Intelligence team is part of Coinbase’s Enterprise Applications and Architecture org and builds the customer-facing and internal CX experiences that connect the Help Center, chatbots (CBCB), and agent workflows. The team owns the multi-agent platform that powers Coinbase chat, Help Center, and agent tooling, partnering closely with Conversation Design, CX, and engineering teams to deliver secure, compliant, and scalable AI-powered support. Our work helps customers get answers faster while enabling agents to resolve cases more effectively.
We are hiring an IC4 Machine Learning Engineer to help evolve our conversational ecosystem by building a seamless hybrid vendor-internal chatbot experience. You will contribute to the design and implementation of a unified orchestration layer that coordinates interactions between vendor AI, internal multi-agent systems, and human participants. This role is ideal for someone who enjoys solving complex ML systems problems, building reliable handoff logic across LLM frameworks, and shipping AI-enabled products that are measurable and scalable.
Build and improve the orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed conversational environment.
Develop production-grade Python services that bridge advanced AI and ML capabilities with reliable customer-facing products.
Drive well-scoped ML projects from design through delivery, balancing technical trade-offs and collaborating across teams.
Contribute to system design, coding standards, and AI/ML development best practices across the team.
Partner with engineers and cross-functional stakeholders to build secure, scalable, and high-performing AI-enabled experiences.
Participate in design reviews and help ensure features meet Coinbase standards for security, compliance, and performance.
2+ years of professional experience in machine learning and software engineering, with experience shipping production-grade ML services.
Hands-on experience building with modern AI architectures such as LLMs and deep learning, and familiarity with tools such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock.
Strong proficiency in Python and the ability to write clean, maintainable, well-tested production code.
Working knowledge in at least one domain such as NLP, information retrieval, computer vision, or statistical modeling.
Ability to write technical design documents and communicate ML system designs clearly to cross-functional stakeholders.
Uses generative AI responsibly, applying human oversight to deliver business-ready outputs and measurable improvements in efficiency, cost, and quality.
Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).
Annual base salary range (excluding equity and bonus):
