An AI safety research companyHiring

Research Engineer / Scientist, Pre-training

  • Remote, United States
  • Mid-level
  • Posted 2 days ago
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or apply from Claude / ChatGPT / Muse

In one line

Research and engineering role on a pre-training team building the next generation of large language models, from data pipelines to training infrastructure.

About the role

The team works on making advanced AI systems reliable and steerable. The job mixes scientific experiments with hard engineering, and small research projects are led independently.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Mid-level
Skills
Python, PyTorch, Machine learning, Large language models, Kubernetes, Reinforcement learning, ETL
Posted
2 Nov 2026
Last checked
2 Nov 2026

What you will do

  • Research and build solutions in model architecture, algorithms, data processing and optimizers.
  • Lead small research projects and join colleagues on larger efforts.
  • Design, run and analyze experiments that deepen understanding of large language models.
  • Scale and optimize training infrastructure for efficiency and reliability.
  • Improve developer tooling so the team can move faster.

What they look for

  • Strong software engineering record, with expertise in Python and deep learning frameworks such as PyTorch.
  • Familiarity with large-scale machine learning, especially language models.
  • Good communication and a collaborative, results-oriented approach.

Nice to have

  • Work on high-performance ML systems, GPUs, Kubernetes or OS internals.
  • Language modeling with transformer architectures and reinforcement learning.
  • Background in large-scale ETL.

How Keywordise applies for you

  1. 1Upload your CVAdd your CV once. It takes about a minute.
  2. 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
  3. 3The form fills itselfName, email, experience and screening questions, field by field.
  4. 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.

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

Disconnect any time in your Keywordise settings.

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
Apply to Keywordise job d3ew7wkigf
How to connect

Questions about this job

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

The posting lists it as remote for people in the United States.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a mid-level role. The posting asks for: strong software engineering record, with expertise in Python and deep learning frameworks such as PyTorch; familiarity with large-scale machine learning, especially language models; good communication and a collaborative, results-oriented approach. Skills it names include Python, PyTorch, Machine learning, Large language models.

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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