Principal Applied Scientist, Generative AI
- USD 195,600 to 312,400 per year
- Remote, United States
- Lead
- Posted 2 weeks ago
or apply from Claude / ChatGPT / Muse
Principal scientist leading a small applied science group that builds the LLMs behind an AI shopping assistant; remote in the US.
About the role
A flat team of 15 to 20 scientists inside a wider agentic AI group, owning their own research areas. Work turns advances in LLMs and reinforcement learning into production systems serving hundreds of millions of requests a day.
At a glance
- Pay
- USD 195,600 to 312,400 per year
- Remote scope
- Remote, United States
- Seniority
- Lead
- Skills
- Python, PyTorch, LLMs, Reinforcement learning, Post-training, Reward modeling, LLM evaluation
- Posted
- 20 Oct 2026
- Last checked
- 3 Nov 2026
What you will do
- Set the research agenda for LLM post-training, reward modelling and evaluation
- Lead and grow applied scientists, giving technical direction and mentorship
- Take ambiguous problems from product vision through experiments, models and data
- Turn generative AI research into improvements in a product used by millions
- Present scientific strategy and results to executives and partner teams
What they look for
- Hands-on work with LLMs or foundation models, including post-training, reward modelling or evaluation
- Experience leading scientists or engineers while staying technical, or a research group with publications
- Python and ML frameworks such as PyTorch, able to read, debug and guide experimental code
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.
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- 3The form fills itselfName, email, experience and screening questions, field by field.
- 4Application sentYou get a receipt and follow it in your dashboard.
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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 ih4v2watlqQuestions about this job
Is this a remote job, and where can I work from?
Yes. The posting lists Principal Applied Scientist, Generative AI as a remote role for candidates in the United States.
What does this job pay?
The posting states USD 195,600 to 312,400 per year.
What experience is needed?
It is a lead role. The posting asks for: hands-on work with LLMs or foundation models, including post-training, reward modelling or evaluation; experience leading scientists or engineers while staying technical, or a research group with publications; python and ML frameworks such as PyTorch, able to read, debug and guide experimental code. Skills it names include Python, PyTorch, LLMs, Reinforcement learning.
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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