General Expression of Interest - Neo Research

Posted 8 Hours Ago
Be an Early Applicant
2 Locations
In-Office or Remote
Entry level
Artificial Intelligence • Security
The Role
Expression of interest for future research scientist or research engineer opportunities at Neo Research. The organization seeks candidates working in model evaluations, AI alignment, interpretability, machine learning, large language model engineering, agentic systems, or related fields applicable to frontier AI safety. Prior AI safety experience is not required. Reading and writing Mandarin is a plus.
Summary Generated by Built In
Interested in working with Neo Research, but don't see the right role currently open?

At Neo Research (新衡), we're always interested in hearing from people who are excited about our work and could be a strong fit for future opportunities.

Submit an expression of interest below to tell us a little about your background, your research interests, and the kinds of questions you'd want to work on with us. We'll keep your information on file and may reach out if a relevant opportunity comes up.

We're particularly interested in research scientists and research engineers with backgrounds in model evaluations, alignment, interpretability, ML and LLM engineering, agentic systems, and adjacent fields whose methods transfer to frontier AI safety. You don't need to have worked in AI safety before. Reading and writing Mandarin is a plus.

This is not an application for a specific open position, and we may not be able to respond to every submission individually. For currently open positions, please apply directly through the relevant job posting.

Skills Required

  • Background in research science or research engineering
  • Experience with model evaluations, alignment, interpretability, machine learning, large language model engineering, agentic systems, or adjacent fields
  • Reading and writing Mandarin
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The Company
Singapore
10 Employees
Year Founded: 2024

What We Do

Singapore AI Safety Hub (SASH) is a research and field-building organization focused on testing AI governance innovations and helping address coordination challenges in advanced AI. Based in Singapore, it connects governments, academics, and industry across regions. Its work includes practical technical governance research, safety verification tools and protocols, frontier-model evaluations, programs for practitioners and policymakers, events, and a co-working community for people working on AI safety.

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