Staff Machine Learning Engineer

Coinbase
United States
Remote

In the 12 months to 30 Jun 2026, Coinbase filed 3 H-1B positions titled "Senior Machine Learning Engineer". Source: U.S. Department of Labor, LCA disclosure data. A record of filings already made, not a commitment to sponsor.

Who this role is best for

Geared toward experienced ML engineers comfortable with leading end-to-end projects and mentoring teams, with a focus on customer experience systems and remote work with quarterly in-person surges.

Best fit for

  • Experienced ML engineers with a track record of leading end-to-end projects and influencing technical strategy.
    — “Lead high-impact ML projects end-to-end, from architecture through production”
  • Individuals with strong Python skills and a focus on building scalable, secure, and reliable ML systems.
    — “Build scalable, secure, and reliable ML systems, evaluation pipelines, and data workflows using high-quality, well-tested Python code”
  • Candidates who thrive in a remote-first environment but are willing to attend in-person surges.
    — “remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges””

Things to consider

  • Quarterly in-person surges may require travel and time away from remote setup.
    — “Expect to get together quarterly for intense in-person working sessions called “surges””
  • The role demands a high level of technical leadership and cross-functional collaboration.
    — “Partner with leadership and cross-functional stakeholders to define strategic roadmaps”

How to stand out

  • Showcase Python expertise with a focus on maintainable, well-tested code for ML systems.
    — “Strong Python skills with demonstrated ability to write maintainable, highly tested production code for ML services”
  • Demonstrate your ability to mentor engineers and raise technical standards in team settings.
    — “Experience mentoring engineers and raising technical standards across a team or organization”
  • Emphasize your background in responsible AI and generative AI with human oversight.
    — “Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs”
  • Include examples of driving improvements in workflow efficiency, cost, and quality using AI.
    — “Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Designed and delivered production ML systems
  • Led high-impact ML projects
Typical background
8+ years of experience in machine learning and software engineering

Skills & requirements

Required

Machine LearningSoftware EngineeringLlmsDeep LearningGraph Neural Networks

Preferred

Responsible AI Practices

Stack & domain

LlmsDeep LearningGraph Neural NetworksPythonNLPInformation RetrievalData MiningAdvanced StatisticsLeadershipProblem-solvingMentorshipFinanceAIMachine Learning

About the role

Original posting from Coinbase

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.

Staff Machine Learning Engineer, CX Intelligence

CEE Intelligence (CEEI) is the ML and intelligence layer for Coinbase's customer engagement ecosystem, building customer intelligence, evaluation systems, routing and classification models, safety guardrails, and decisioning capabilities that power Help Center, chat, voice, agent tooling, and other customer support runtimes. As a Staff Machine Learning Engineer, you'll lead the design and delivery of production ML systems across the org, shaping technical strategy, building scalable intelligence capabilities, and partnering with product and engineering stakeholders to improve resolution quality, automation coverage, safety, and customer experience.

What you'll do:

Own the design and delivery of production ML systems, applying LLMs, deep learning, graph neural networks, and classical ML techniques to solve complex customer experience problems.

Partner with leadership and cross-functional stakeholders to define strategic roadmaps and translate vision into 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, well-tested Python code.

Mentor engineers and establish team-wide standards for design, testing, observability, and operational excellence.

Drive design reviews covering security, responsible AI, model quality, and architectural integrity, improving reliability, scalability, and latency across the stack.

Required Skills and Experience:

8+ years of experience in machine learning and software engineering, with 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, combined with strong knowledge of NLP, information retrieval, data mining, or advanced statistics.

Strong Python skills with demonstrated ability to write maintainable, highly tested production code for ML services.

Experience mentoring engineers and raising technical standards across a team or organization, including leading design reviews and influencing technical and non-technical stakeholders.

Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Job #: P77568

Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). 

Annual base salary range (excluding equity and bonus):$218,025—$256,500 USD

Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.

Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.

US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.

Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial.

Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.

Source: Coinbase careers

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