Machine Learning Engineer

About the role

As a Machine Learning Engineer at Coinbase, you will focus on building and enhancing the orchestration layer for AI-driven customer support. This role demands a strong foundation in machine learning and software engineering, as you will be responsible for developing production-grade services that integrate advanced AI capabilities into customer-facing products.

You will collaborate with engineers and stakeholders to create secure, scalable AI-enabled experiences. The work environment is intense and performance-driven, ideal for individuals who thrive under pressure and are committed to pushing the boundaries of what is possible in the finance sector.

The salary range for this position is competitive, starting at $120K and going up to $200K.

Skills that matter here

• machine learning: This role requires building and improving machine learning services that enhance customer support.
• python: Strong Python skills are essential for developing clean and maintainable production code.
• AI: You will work with advanced AI architectures to create effective solutions.
• deep learning: Experience with deep learning is necessary for developing sophisticated AI models.
• NLP: Knowledge in NLP is important for one of the domains this role may cover.

Who this role suits

• A professional with at least 2 years of experience in machine learning and software engineering.
• Someone who can effectively communicate technical designs to cross-functional teams.
• A detail-oriented individual who values high standards and is not afraid to tackle complex challenges.
• A proactive team player who is comfortable in a fast-paced, performance-driven environment.

From the employer

• 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.

• Competitive salary ranging from $120K to $200K.
• Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).
• Remote-first work environment with quarterly in-person working sessions.