Senior Machine Learning Systems Engineer, ML Platform
- Remote, United States
- Senior
- Posted 2 weeks ago
or apply from Claude / ChatGPT / Muse
Senior engineering role on an ML platform team, building data governance tools and pipelines that feed ranking, recommendations and ads; remote.
About the role
The ML data team owns infrastructure behind feeds ranking, content understanding and recommendations. Work spans signal discovery tools plus prediction logging and training data systems at petabyte scale.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Senior
- Skills
- Machine learning, Distributed systems, Streaming data processing, Observability
- Posted
- 15 Oct 2026
- Last checked
- 29 Oct 2026
What you will do
- Lead design, build, testing and operation of ML signal governance tools.
- Help teams judge signal importance and make lifecycle decisions.
- Define governance workflows with ML engineers and cross-functional partners.
- Build and run batch and streaming pipelines over petabyte-scale data.
- Take complex projects from technical planning through rollout and operation.
What they look for
- Five or more years in the ML platform domain.
- A record of production systems with testing, monitoring and observability.
- Understanding of distributed systems and data-intensive architectures.
Benefits
- Health coverage and income replacement programs.
- 401k with employer match.
- Flexible vacation and paid volunteer time off.
- Paid parental leave and family planning support.
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 6p6tgp6b5mQuestions about this job
Is this a remote job, and where can I work from?
Yes, it is listed as remote, aimed at 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 the ML platform domain; a record of production systems with testing, monitoring and observability; understanding of distributed systems and data-intensive architectures. Skills it names include Machine learning, Distributed systems, Streaming data processing, Observability.
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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