Machine Learning Engineer, CX Intelligence

Coinbase
Brazil
Remote

Who this role is best for

Best suited to mid-level machine learning engineers with production experience in LLM-based agentic systems who thrive in high-intensity, remote-first environments requiring quarterly in-person collaboration.

Best fit for

  • Python developers skilled in microservices and high-throughput APIs for financial applications.
    — “Strong proficiency in Python with hands-on experience in microservices architecture
  • Technical communicators who can bridge AI behaviors to non-technical legal and product teams.
    — “explain model behaviors and technical trade-offs to non-technical stakeholders

Things to consider

  • Quarterly in-person working sessions are mandatory despite remote-first policy.
    — “Expect to get together quarterly for intense in-person working sessions
  • Role requires maintaining human oversight on AI outputs for compliance.
    — “maintaining human oversight to deliver business-ready outputs

How to stand out

  • Demonstrate specific improvements you drove in workflow efficiency via AI systems.
    — “drive measurable improvements in workflow efficiency, cost, and quality
  • Highlight production-scale deployments of multi-agent orchestration frameworks.
    — “multi-agent orchestration frameworks (LangGraph, Google ADK, or similar)
  • Showcase compliance-aware AI implementations in regulated domains.
    — “compliant with Coinbase policies
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Mid

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

What success looks like

  • Architect multi-agent systems
  • Build and scale integrations
  • Develop automated evaluation pipelines
  • Implement RAG, fine-tuning, and prompt engineering
Typical background
3+ years building and scaling ML/AI systems in production

Skills & requirements

Required

Ml/ai SystemsLLM LifecyclePythonMicroservices ArchitectureAsynchronous ProgrammingVector Databases

Preferred

Llm-as-a-judge Evaluation Pipelines

Stack & domain

PythonLLMRagPrompt EngineeringFine-tuningCommunicationMLAICx Intelligence

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.

The CX Intelligence Engineering team, part of Coinbase's Enterprise Applications and Architecture org, builds the multi-agent platform powering Coinbase Chat, Help Center, and agent tooling. As a Machine Learning Engineer on this team, you'll design and scale the agentic systems that automate complex customer support workflows, connecting LLMs with internal APIs and tools to deliver fast, accurate, and compliant AI-powered experiences for millions of customers.

What you'll do:

Architect multi-agent systems using advanced orchestration frameworks (LangGraph, Google ADK) to automate complex customer support procedures end-to-end.

Build and scale integrations using Model Context Protocol (MCP) to connect LLMs with internal Coinbase APIs, databases, and third-party tooling.

Develop automated "LLM-as-a-judge" evaluation pipelines to monitor, measure, and improve the performance of non-deterministic AI agents in production.

Implement RAG, fine-tuning, and prompt engineering techniques to ensure chatbot responses are grounded, accurate, and compliant with Coinbase policies.

Ship production-ready Python services that are resilient, low-latency, and capable of handling Coinbase-scale traffic across asynchronous microservices.

Partner with Conversation Design and Product to translate complex business logic into executable agent procedures within the decentralized architecture.

Required Skills and Experience:

3+ years building and scaling ML/AI systems in production, with demonstrated experience implementing agentic "Loop" or "ReAct" based systems where AI takes actions autonomously.

Deep understanding of the LLM lifecycle including context window management, token optimization, structured output parsing (Pydantic, JSON mode), and multi-agent orchestration frameworks (LangGraph, Google ADK, or similar).

Strong proficiency in Python with hands-on experience in microservices architecture, asynchronous programming, high-throughput APIs, and vector databases (Pinecone, Weaviate, or equivalent).

Demonstrated ability to explain model behaviors and technical trade-offs to non-technical stakeholders across CX, Legal, and Product teams.

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

Job ID: P77545

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$347.900—R$347.900 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.

AI Disclosure: Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation.  Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. Coinbase will not use AI to make decisions impacting employment.

Source: Coinbase careers

Similar roles