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Coinbase

Senior Machine Learning Engineer, CX Intelligence

Work from home

Remote role where the employee must remain based in a particular country.

Brazil only

Employer listed it 9 days ago · Added 5 days ago

First listed 9 days ago and still open.

Salary

456k BRL per year

Location

Brazil only

Timezone

Not stated

Contract

Full-time

Experience

Senior

Category

Data

Stated by the employer in the job description

Remote flexibility

Work from home

This is a remote role, but the employee must be based in Brazil. It is work from home rather than work from anywhere.

What the employer says

  • Source listing states candidate location: "Remote - Brazil"

What Nomaders makes of it

  • Residency required in Brazil
  • Payroll and tax are likely handled in that country only

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

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 Machine Learning Engineer on the CX Intelligence team within Enterprise Applications and Architecture, you'll build the AI-powered conversational systems that connect Coinbase's Help Center, chatbots, and agent workflows. The team owns the multi-agent platform powering Coinbase Chat and agent tooling, partnering with Conversation Design, CX, and Engineering to deliver secure, scalable automated support. You'll lead the design and implementation of a unified orchestration layer that coordinates interactions between vendor AI, internal multi-agent systems, and human participants, directly improving how millions of customers get help.

What you'll do:

Architect and deploy the orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed conversational environment.

Build production-grade Python services that bridge advanced ML/AI research with reliable, measurable customer-facing products.

Lead end-to-end project execution for complex ML initiatives, managing priorities, technical trade-offs, and cross-functional dependencies from design through delivery.

Establish best practices for system design, coding standards, and AI/ML development workflows across the team.

Mentor engineers on architectural integrity and modern AI/ML patterns, raising the technical bar for the broader team.

Conduct design reviews to ensure every feature meets Coinbase's standards for security, scalability, and performance.

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 building with modern AI architectures (LLMs, deep learning) and the generative AI ecosystem, including frameworks such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock.

Deep proficiency in Python with demonstrated ability to write clean, maintainable, highly-tested production code.

Specialized knowledge in at least one domain: NLP, information retrieval, computer vision, or advanced statistical modeling.

Proven ability to write technical design documents and present ML system architectures to cross-functional stakeholders, translating complex technical concepts for non-technical audiences.

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

Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).

Annual base salary range (excluding equity and bonus):

R$455.500 — R$455.500 BRL

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 .

Requirements

  • ·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 building with modern AI architectures (LLMs, deep learning) and the generative AI ecosystem, including frameworks such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock.
  • ·Deep proficiency in Python with demonstrated ability to write clean, maintainable, highly-tested production code.
  • ·Specialized knowledge in at least one domain: NLP, information retrieval, computer vision, or advanced statistical modeling.
  • ·Proven ability to write technical design documents and present ML system architectures to cross-functional stakeholders, translating complex technical concepts for non-technical audiences.

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

  1. 1Check the flexibility label above, work from home, matches where you plan to live and work.
  2. 2Tailor your CV to the role at Coinbase, mentioning your remote working experience.
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 5d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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