Machine Learning Engineer

What you'll do:

• 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.