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Location
In office (Tel Aviv)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Jul 22, 2025. Irregular scores C on the Alion truth index.

Overview
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Irregular, formerly Pattern Labs, evaluates the cyber capabilities of frontier artificial intelligence models. Its testing environments measure offensive and defensive security skill. The laboratory works with leading model developers and governments.

About Irregular

Irregular is the first frontier security lab with the mission of protecting the world in the time of increasingly capable and sophisticated AI systems. We build next-generation defenses through high-fidelity research platforms that simulate and monitor real-world AI security scenarios.

As AI systems become more powerful, we focus on staying ahead of emerging threats and vulnerabilities, ensuring these transformative technologies can be deployed safely and securely.

About the Role

As an AI researcher at Irregular, you'll be at the forefront of researching advanced frontier model capabilities and agent behavior, and help shape the future of AI security evaluation and mitigation. In this role, you will advance the frontier knowledge of AI and agentic frameworks, methods of assessing their ability, and mitigations for dangerous capabilities.

Representative projects:

  • Researching capability elicitation methods to enhance model performance in evaluations.

  • Researching methodologies to assess generalization and coverage in model capabilities evaluation frameworks.

  • Contributing to academic publications and delivering research findings to customers.

  • Creating unique solutions to mitigate scenarios of AI loss of control or misalignment.

  • Advising and supporting the development of the products we’re building.

You may be a good fit if you:

  • Have a strong research experience in machine learning, particularly with frontier AI models.

  • Can design and implement novel research approaches for emerging AI challenges.

  • Work well in a multidisciplinary team and can adapt to rapidly evolving research questions.

  • Have a track record of publishing peer-reviewed research in top-tier venues (e.g., AAAI, ACL, EMNLP, ICLR, ICML, Nature, NeurIPS, Science, or similar).

  • Care about the societal impacts of your work.

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