Security Machine Learning Engineer/ Researcher
- USD 150,000 to 215,000 per year
- Remote, United States
- Senior
- Posted 2 weeks ago
or apply from Claude / ChatGPT / Muse
Research and engineering role building machine learning detections and data normalisation for a security platform.
About the role
Someone who can turn security requirements into data science problems and ship production detection features, working closely with data integration and security teams.
At a glance
- Pay
- USD 150,000 to 215,000 per year
- Remote scope
- Remote, United States
- Seniority
- Senior
- Skills
- Python, Machine learning, Deep learning, Natural language processing, Time series analysis, Graph machine learning, Elastic Common Schema
- Posted
- 13 Oct 2026
- Last checked
- 29 Oct 2026
What you will do
- Review and design data schemas and normalisation for third-party security data with the integration team
- Turn detection use cases into machine learning problems and propose solutions from integrated data
- Research and build algorithms for detection, correlation and investigation based on security insights
- Ship product features and set up processes, tools and metrics to track detection efficacy for customers
What they look for
- Master's or PhD in computer science or a related field, focused on machine learning, deep learning, NLP or AI
- Experience as an ML engineer or research scientist with time series, graph machine learning or NLP
- Strong grasp of ML algorithms, statistical models and deep neural networks, plus Python for quick prototypes and production code
- Clear communication of complex ideas to technical and non-technical stakeholders
Nice to have
- Prior security product knowledge, including detection and response or threat hunting
Benefits
- Pre-IPO stock options
- Medical, dental and vision cover
- Employee assistance and discount programs
- Life insurance
- Paid time off
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 kfgag34lkaQuestions about this job
Can I do this job remotely, and from which countries?
Yes. The posting lists Security Machine Learning Engineer/ Researcher as a remote role for candidates in the United States.
What does this job pay?
The posting states USD 150,000 to 215,000 per year.
What experience is needed?
It is a senior role. The posting asks for: master's or PhD in computer science or a related field, focused on machine learning, deep learning, NLP or AI; experience as an ML engineer or research scientist with time series, graph machine learning or NLP; strong grasp of ML algorithms, statistical models and deep neural networks, plus Python for quick prototypes and production code. Skills it names include Python, Machine learning, Deep learning, Natural language processing.
How do I apply with Keywordise AI?
Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.
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