Senior ML Systems Engineer
- Remote, United States
- Senior
- Posted 8 days ago
or apply from Claude / ChatGPT / Muse
Senior engineering role on a data labeling platform team, building tools that produce training data for self-driving models; full-stack work in TypeScript, Python, GraphQL and Go.
About the role
Suits someone who wants to own whole pieces of a platform and grow toward technical leadership. Work spans software, data engineering and ML, with thousands of people using the tools you ship.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Senior
- Skills
- TypeScript, React, Python, GraphQL, Go, ML model services
- Posted
- 21 Oct 2026
- Last checked
- 27 Oct 2026
What you will do
- Build and test fast, scalable services and interfaces with modern full-stack and frontend tools
- Ship features across several parts of the product that speed up labeling for new models and cities
- Create automation and dashboards that show ML engineers how labeling and data quality are doing
- Work with ML engineers on pre-labeling, autolabeling and active learning loops
- Own projects from framing through design, rollout and code review
What they look for
- At least six years building distributed platforms and applications in production
- Hands-on use of AI coding assistants, search and doc generators to speed up delivery
- Care about self-driving technology and its effect on safety and mobility
- Can explain tradeoffs, sway peers and make progress through unclear requirements
- Empathy for users from labelers to ML engineers and operations staff
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
- 1Upload your CVAdd your CV once. It takes about a minute.
- 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
- 3The form fills itselfName, email, experience and screening questions, field by field.
- 4Application sentYou get a receipt and follow it in your dashboard.
Apply with Keywordise AI7-day free trial, no card.
Apply from your AI assistant
Connect Keywordise to your assistant once, then send it the prompt. It applies for you.
Claude
- In Claude, open Settings, then Connectors, and choose Add custom connector.
- Name it Keywordise and paste the connector URL.
- Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
ChatGPT
- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
- Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
- Log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
Muse
- Open Muse (muse.ai or the app) and send it the message below.
- If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
- Send the prompt. Muse asks before it sends anything.
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.
Apply to Keywordise job psb2f5tg7bQuestions about this job
Can I do this job remotely, and from which countries?
Yes. The posting lists Senior ML Systems Engineer 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: at least six years building distributed platforms and applications in production; hands-on use of AI coding assistants, search and doc generators to speed up delivery; care about self-driving technology and its effect on safety and mobility. Skills it names include TypeScript, React, Python, GraphQL.
How do I apply with Keywordise AI?
Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.
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