CoinbaseHiring

Senior Machine Learning Engineer, CX

  • Remote, United States
  • Senior
  • Posted 13 days ago
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In one line

Senior ML role on a customer experience intelligence team, building multi-agent AI systems for chat, help centre and agent tools; remote with quarterly in-person sessions.

About the role

The team runs a multi-agent platform behind chat, self-service help and agent tooling, working with conversation design, support and engineering to keep AI answers safe and scalable.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Skills
Python, LangGraph, LangSmith, Google ADK, Vertex AI, AWS Bedrock, NLP, Information retrieval
Posted
16 Oct 2026
Last checked
29 Oct 2026

What you will do

  • Design and ship the multi-agent framework for agent assist, internal procedure execution and secure LLM actions at millions of interactions.
  • Run complex ML projects end to end, setting priorities, weighing technical trade-offs and managing cross-team dependencies.
  • Build and tune concierge chat and agent copilot features that raise automated resolution and cut case handling time.

What they look for

  • Five or more years in machine learning and software engineering, with production ML services shipped at scale.
  • Hands-on work with large language models, deep learning and generative AI tooling such as LangGraph, LangSmith, Google ADK, Vertex AI or AWS
  • Clean, well-tested Python for ML applications.
  • Depth in one area such as NLP, information retrieval, conversational AI or statistical modelling, plus technical design writing and clear co

How Keywordise applies for you

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ClaudeConnectorChatGPTConnectorMuseby Meta

Claude

  1. In Claude, open Settings, then Connectors, and choose Add custom connector.
  2. Name it Keywordise and paste the connector URL.
  3. Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

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ChatGPT

  1. In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
  2. Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
  3. Log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

Muse

  1. Open Muse (muse.ai or the app) and send it the message below.
  2. If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
  3. Send the prompt. Muse asks before it sends anything.
Message for Muse
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.

Muse is available in the US only for now.

Prompt
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How to connect

Questions about this job

Can I do this job remotely, and from which countries?

Yes. The posting lists Senior Machine Learning Engineer, CX as a remote role for candidates in the United States.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a senior role. The posting asks for: five or more years in machine learning and software engineering, with production ML services shipped at scale; hands-on work with large language models, deep learning and generative AI tooling such as LangGraph, LangSmith, Google ADK, Vertex AI or AWS; clean, well-tested Python for ML applications. Skills it names include Python, LangGraph, LangSmith, Google ADK.

How do I apply with Keywordise AI?

Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.

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