Machine learning engineer on Coinbase's CX Intelligence team, working remotely from India on production LLM systems that shape how millions of users get help.

This remote India role was posted on 22 June 2026. Coinbase runs one of the largest crypto platforms in the world, and this team applies machine learning to its customer experience: building and shipping production-grade ML services, with LLM and deep learning architectures at the core. The listing asks for at least two years of professional ML and software engineering experience, so it suits early-career engineers who have already shipped real models.

About Coinbase

Coinbase operates a major cryptocurrency exchange and a broader onchain product suite, with a stated mission of increasing economic freedom. The company describes itself as remote-first but not remote-only: teams meet quarterly for in-person working sessions it calls surges. Coinbase lists a pay range of ₹4,408,400 INR per year for this role on its India posting. Learn more on Coinbase's careers site.

The role in plain terms

You build ML services for customer experience problems: think LLM-powered support intelligence, retrieval over help content, and models that route or resolve user issues. The toolchain named in the listing - LangGraph, LangSmith, Google ADK, Vertex AI, AWS Bedrock - is the current production LLM stack, so this is applied agent engineering on real traffic, not a research seat. You write design documents and own services end to end, remotely, with quarterly in-person surges.

What the employer asks for

These requirements are quoted from the employer's listing, kept in their exact words so eligibility details are not distorted:

2+ years of professional experience in machine learning and software engineering, with experience shipping production-grade ML services.
Hands-on experience building with modern AI architectures such as LLMs and deep learning, and familiarity with tools such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock.
Strong proficiency in Python and the ability to write clean, maintainable, well-tested production code.
Working knowledge in at least one domain such as NLP, information retrieval, computer vision, or statistical modeling.

Who this role suits

ML engineers with 2+ years who have shipped production services, not just notebooks, and who want LLM application work at consumer scale from India. Strong fit if you already use agent frameworks like LangGraph in anger. Not for research-only backgrounds or for anyone needing an office-first setup - the listing is explicit that the bar and pace are high.

Practical notes

Coinbase states the pay range on the India posting, which is rare and useful: check the current figure on the listing before negotiating. Expect LLM system-design discussion: be ready to walk through a production ML service you built, including evaluation and failure modes. Note this listing has been open since June - older but still live when we checked.

How to apply

Apply directly on the employer's site: Machine Learning Engineer at Coinbase. We found this listing on Coinbase's careers site (coinbase.com), where it was posted on 22 Jun 2026 and was still open when we checked on 31 Oct 2026. Before applying, re-read the employer's own description in full, since eligibility details, deadlines and process steps can change at any time and the employer's page is always the final word. Tailor your resume to the specific requirements above rather than sending a generic one: mirror the skills and tools the listing names where you genuinely have them. A short, specific note on why this team and this problem interest you goes further than a long generic cover letter. Never pay a fee to apply or interview; genuine employers, including this one, do not charge candidates.

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