Senior Machine Learning Engineer

About the Role

The CX Intelligence team is part of Coinbase's Enterprise Applications and Architecture org, responsible for building customer-facing and internal CX experiences. You will have the opportunity to collaborate with Conversation Design, CX, and other engineering teams to deliver secure, compliant, and scalable AI-powered support.

What You Will Do

• Architect and deploy the orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed conversational environment.
• Build production-grade Python services that bridge advanced ML/AI research with reliable, measurable customer-facing products.
• Lead end-to-end project execution for complex ML initiatives, managing priorities, technical trade-offs, and cross-functional dependencies from design through delivery.
• Establish best practices for system design, coding standards, and AI/ML development workflows across the team.
• Mentor engineers on architectural integrity and modern AI/ML patterns, raising the technical bar for the broader team.
• Conduct design reviews to ensure every feature meets Coinbase's standards for security, scalability, and performance.
• Collaborate with cross-functional teams to identify opportunities for process improvements and implement changes that increase efficiency and effectiveness.
• Develop and maintain technical documentation for ML systems and processes.
• Stay up-to-date with industry trends and advances in ML and AI, applying this knowledge to continuously improve Coinbase's conversational ecosystem.

What We Are Looking For

• 5+ years of professional experience in machine learning and software engineering, with a track record of shipping production-grade ML services at scale.
• Hands-on expertise building with modern AI architectures (LLMs, deep learning) and the generative AI ecosystem, including frameworks such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock.
• Deep proficiency in Python with demonstrated ability to write clean, maintainable, highly-tested production code.
• Specialized knowledge in at least one domain: NLP, information retrieval, computer vision, or advanced statistical modeling.
• Proven ability to write technical design documents and present ML system architectures to cross-functional stakeholders, translating complex concepts into actionable insights.
• Experience with agile development methodologies and version control systems such as Git.
• Strong communication and collaboration skills, with the ability to work effectively with remote teams.

Nice to Have

• Experience with cloud-based ML platforms such as AWS SageMaker or Google Cloud AI Platform.
• Knowledge of containerization using Docker and orchestration using Kubernetes.
• Familiarity with DevOps practices and tools such as Jenkins, CircleCI, or Travis CI.
• Experience with data visualization tools such as Tableau, Power BI, or D3.js.

Benefits and Perks

• Competitive salary and equity package.
• Comprehensive health insurance, including medical, dental, and vision coverage.
• Flexible PTO policy, with a minimum of 4 weeks of paid time off per year.
• Remote work stipend to support your home office setup.
• Access to professional development opportunities, including conferences, workshops, and online courses.
• Quarterly in-person working sessions, known as 'surges,' to collaborate with your team and drive innovation.

• Develop a strong understanding of modern AI architectures, including LLMs and deep learning frameworks, to increase your chances of success in this role.
• Build a portfolio of ML projects that demonstrate your ability to design and deploy complex ML systems, including chatbots and conversational AI.
• Practice presenting technical concepts to non-technical stakeholders, as this will be an essential skill in this position.
• Stay up-to-date with industry trends and advances in ML and AI, and be prepared to apply this knowledge to drive innovation at Coinbase.
• Highlight your experience with agile development methodologies and version control systems, as these skills are highly valued in this role.
• Prepare to discuss your approach to mentorship and knowledge sharing, as mentoring engineers will be an important part of this position.
• Research Coinbase's company culture and be prepared to discuss how your values and work style align with the company's mission and principles.