Staff ML Engineer, CX Intelligence — Lead Production ML

Coinbase, Inc.; Jackson (MS); Remote; USD 218,000 - 257,000; Full time

Job summary

Coinbase, Inc. is seeking a Staff Machine Learning Engineer for its CX Intelligence team to lead the design and delivery of production ML systems and to shape technical strategy across the organization.

You will partner with product and engineering stakeholders to improve resolution quality, automation coverage, safety, and customer experience. The role emphasizes building scalable, secure ML pipelines, mentoring engineers, and guiding design reviews with a strong focus on security, quality, and

Qualifications

• 8+ years of experience in machine learning and software engineering for production ML systems.
• Hands-on expertise with LLMs, deep learning, graph neural networks, gradient-boosted trees, or regression.
• Strong knowledge of NLP, information retrieval, data mining, or advanced statistics.
• Excellent Python skills and ability to write well-tested production code for ML services.
• Experience mentoring engineers and raising technical standards.

Responsibilities

• Own design and delivery of production ML systems using LLMs, DL, and graph-based methods.
• Partner with leaders to define strategic roadmaps and quarterly plans with measurable outcomes.
• Lead high-impact ML projects from architecture to production with risk management.
• Build scalable, secure ML pipelines and data workflows with high-quality Python code.
• Mentor engineers and establish team-wide standards for design, testing, and observability.
• Drive reviews on security, responsible AI, model quality, and system latency.

Skills

LLMs

Deep learning

Graph neural networks

Python production code

NLP / Information retrieval

Mentoring engineers

Production ML systems

Tools

TensorFlow

Job description

Coinbase, Inc. is seeking a Staff Machine Learning Engineer for its CX Intelligence team to lead the design and delivery of production ML systems and to shape technical strategy across the organization.

You will partner with product and engineering stakeholders to improve resolution quality, automation coverage, safety, and customer experience. The role emphasizes building scalable, secure ML pipelines, mentoring engineers, and guiding design reviews with a strong focus on security, quality, and