Machine Learning Engineer

Навыки

• AI-агенты
• AI-инструменты в работе
• AWS
• Чат-боты
• Computer Vision
• LLM
• Machine Learning

О компании и продукте

• At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here
• We are hiring an IC4 Machine Learning Engineer to help evolve our conversational ecosystem by building a seamless hybrid vendor-internal chatbot experience

Задачи

• 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
• Ready to do the most impactful work of your career?
• 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

Требования

• 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

Условия

• Coinbase is a remote-first, but not remote-only company
• Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase
• 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

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