Machine Learning Engineer

• 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.

Required Skills and Experience:

• 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.