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).
- Application Limit: Candidates may submit a maximum of 4 applications per 30-day 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.
Skills Required
- 5+ years professional experience in machine learning and software engineering with production-grade ML services deployed at scale
- Deep proficiency in Python and ability to write clean, maintainable, highly-tested production code
- Hands-on experience with modern AI architectures (LLMs, deep learning) and generative AI frameworks such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock
- 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, non-technical stakeholders
- Experience architecting distributed conversational systems, state management, context sharing, and intent routing across vendor and internal LLM systems
- Demonstrated responsible use of generative AI with appropriate human oversight and measurable workflow improvements
What the Team is Saying
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Coinbase Compensation & Benefits Highlights
How does Coinbase ensure its pay and bonus plans are competitive?
Coinbase uses a market-driven, pay-for-performance approach to keep pay and bonus plans competitive. Coinbase regularly benchmarks roles against leading technology and fintech companies using external market data and reviews its compensation programs on a recurring basis to ensure salary, bonus, and equity remain aligned with the broader market and business goals. Annual bonus and equity programs are tied to both company results and individual impact, so when Coinbase and its people perform, total rewards reflect that performance.
Coinbase Insights
What We Do
Crypto creates economic freedom by ensuring that people can participate fairly in the economy, and Coinbase (NASDAQ: COIN) is on a mission to increase economic freedom for more than 1 billion people. We’re updating the century-old financial system by providing a trusted platform that makes it easy for people and institutions to engage with crypto assets, including trading, staking, safekeeping, spending, and fast, free global transfers. We also provide critical infrastructure for onchain activity and support builders who share our vision that onchain is the new online. And together with the crypto community, we advocate for responsible rules to make the benefits of crypto available around the world.
Why Work With Us
We have the opportunity to accelerate the pace of innovation in the world by building an open financial system. Our vision is to create more economic freedom in the world, to help people control their own wealth, start companies, have financial privacy, and participate in the global economy. And to get us there, we focus, build and move as a team.
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Employees work remotely.
Coinbase is remote-first, which enables us to innovate, build and move quickly. Our teams are able to work effectively from around the globe with time for in-person offsites and team meetups to enhance collaboration and connection.
