Staff Machine Learning Engineer

Coinbase

. Own the design and delivery of production ML systems using LLMs, deep learning, graph neural networks, and classical ML techniques .

Posted 10/9/2026full-timeUnited StatesLead💰 $218,025 - $256,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and delivering production ML systems using LLMs, deep learning, and classical ML techniques, while effectively mentoring engineers and leading high-impact projects. Proven ability to build scalable and reliable ML systems with a focus on security, model quality, and operational excellence.

Highest-signal resume keywords

Machine Learning ExpertisePython ProgrammingLLMs and Deep LearningMentoring and Technical LeadershipDesign Review Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningGraph Neural NetworksLLMsPythonData MiningNLPRegressionGradient-Boosted TreesAdvanced Statistics

Soft Skills

MentoringCollaborationInfluencing StakeholdersStrategic PlanningOperational Excellence

Industry Keywords

Production ML SystemsData PlatformsEvaluation PipelinesCustomer Engagement EcosystemResponsible AI

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Own the design and delivery of production ML systems using LLMs, deep learning, graph neural networks, and classical ML techniques
Partner with leadership and cross-functional stakeholders to define strategic roadmaps and quarterly execution plans with measurable outcomes
Lead high-impact ML projects end-to-end, from architecture through production, managing priorities, risks, and dependencies
Build scalable, secure, and reliable ML systems, evaluation pipelines, and data workflows using high-quality Python code
Mentor engineers and establish team-wide standards for design, testing, observability, and operational excellence
Lead design reviews covering security, responsible AI, model quality, and architectural integrity
Improve reliability, scalability, and latency across the stack
Build customer intelligence, evaluation systems, routing and classification models, safety guardrails, and decisioning capabilities for Coinbase’s customer engagement ecosystem

Requirements

What you’ll need

8+ years of experience in machine learning and software engineering
Proven success building, scaling, and maintaining production ML systems, data platforms, or analytical services
Hands-on expertise with one or more of LLMs, deep learning, graph neural networks, gradient-boosted trees, or regression
Strong knowledge of NLP, information retrieval, data mining, or advanced statistics
Strong Python skills and ability to write maintainable, highly tested production code for ML services
Experience mentoring engineers and raising technical standards across a team or organization
Experience leading design reviews and influencing technical and non-technical stakeholders
Responsible use of generative AI with human oversight
Must be located in the USA

Benefits

Comp & perks

Equity eligibility
Bonus eligibility
Medical insurance
Dental insurance
Vision insurance
401(k) plan
Quarterly in-person working sessions (“surges”)
Reasonable accommodations for individuals with disabilities
Free compatible screen reader available