Coinbase
Fintech & PaymentsDirect Greenhouse career site

Senior Machine Learning Engineer, CX

Pay
$191,250 – $225,000 per year
Location
Remote (US)
Job type
Full-time
Level
Senior
Experience
5+ years
Listed
23 days ago

Skills & highlights for this role

  • Python
  • large language models
  • multi-agent orchestration
  • LangGraph
  • Vertex AI

Also useful

  • LangSmith
  • Google ADK
  • AWS Bedrock

Stated benefits & perks

  • Medical
  • Dental
  • Vision

About the role

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.

As a Senior Machine Learning Engineer on the CX Intelligence Engineering team within Coinbase's Customer Engagement and Experience org, you'll design and build the AI-powered systems that connect our Help Center, chatbots, and agent workflows.

This team owns the multi-agent platform powering Coinbase chat, Help Center, and agent tooling surfaces, partnering with Conversation Design, CX, and Engineering teams to deliver secure, compliant, and scalable AI support.

You'll drive key CX automation initiatives, including multi-agent framework development, agent assist capabilities, and LLM-powered secure actions that help customers get answers faster while enabling human agents to resolve cases more effectively.

What you'll do

  • Architect and deploy the multi-agent framework for agent assist, internal SOP execution, and secure LLM-powered actions, building scalable systems that handle millions of customer interactions.
  • Own end-to-end project execution for complex ML initiatives, managing priorities, technical trade-offs, and cross-functional dependencies from design through production delivery.
  • Build and optimize AI-driven concierge chat and agent copilot experiences that improve automated resolution rates and reduce case handling time.
  • Develop systems to detect and manage bad actors and adversarial inputs, ensuring the multi-agent platform maintains high confidence and safety at scale.
  • Establish best practices for system design, coding standards, and evaluation frameworks for ML/AI systems, mentoring team members on architectural decisions and modern ML development workflows.

Required Skills and Experience

  • 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 with large language models, deep learning architectures, and the generative AI ecosystem (LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock), with demonstrated ability to build multi-agent or LLM orchestration systems.
  • Proficiency in Python with the ability to write clean, maintainable, and highly tested production code for ML applications.
  • Specialized depth in at least one domain: NLP, information retrieval, conversational AI, or advanced statistical modeling, with the ability to ramp quickly on adjacent areas.
  • Proven ability to write technical design documents and communicate complex ML concepts clearly to non-technical stakeholders across product, design, and CX teams.
  • Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
  • Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

#P78698

Pay and benefits

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)

$191,250—$225,000 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.
Read the original posting

From Coinbase's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.

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Common questions

What is the salary for the Senior Machine Learning Engineer, CX role at Coinbase?

The Senior Machine Learning Engineer, CX posting at Coinbase states compensation of $191,250 – $225,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Coinbase's official career site.

Where is the Senior Machine Learning Engineer, CX job at Coinbase located?

Yes, this Senior Machine Learning Engineer, CX opening at Coinbase is listed as Remote (US). Always check Coinbase's application page for specific state eligibility or relocation policies.

What qualifications are required for Senior Machine Learning Engineer, CX at Coinbase?

For the Senior Machine Learning Engineer, CX role, Coinbase highlights 5+ years of relevant experience; experience with Python, large language models, multi-agent orchestration, LangGraph, Vertex AI. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Senior Machine Learning Engineer, CX position at Coinbase?

This listing links directly to Coinbase's Greenhouse application page. You can apply directly on Coinbase's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.