Autonomous AI Safety Research Scientist

White Circle

Paris

Hybrid

EUR 120.000 - 190.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Equity
Flexible hybrid setup
Relocation support to Paris after prob
Premium private health insurance
Mental health support
Lunch and dinner when at the office
Learning and development support
All hardware/tools needed
Team off-sites twice a year

Zusammenfassung

White Circle, a safety-focused AI company, seeks a research scientist to push LLM agents to failure and study breakdowns. You will craft adversarial, large-scale environments and orchestrate many agents to observe failures arising from agent behavior, not external scripts.

You will run end-to-end experiments, publish findings, and help model agent behavior while contributing to safety benchmarks and writeups. A PhD or MSc in a quantitative field is valued.

Qualifikationen

  • Built non-trivial agent environments or end-to-end research pipelines.
  • Strong software/AI engineering skills with parallel orchestration.
  • Track record in empirical agent research, red-teaming, or post-training.
  • Fast empirical iterator; can define questions without a playbook.
  • Fluent with frontier models and coding agents daily.

Aufgaben

  • Build adversarial and complex agent environments near the edge of capability.
  • Create realistic multi-agent setups and observe emergent failures.
  • Run end-to-end experiments against external APIs and internal models.
  • Catalogue agent failure modes and surface them at scale.
  • Turn findings into internal models and public writeups.

Kenntnisse

Agent environments
Multi-agent orchestration
Experiment design
Empirical research
Frontier models

Ausbildung

MSc or PhD in ML/CS/Cognitive Science/Computational Neuroscience/Physics

Jobbeschreibung

White Circle, a safety-focused AI company, seeks a research scientist to push LLM agents to failure and study breakdowns. You will craft adversarial, large-scale environments and orchestrate many agents to observe failures arising from agent behavior, not external scripts.

You will run end-to-end experiments, publish findings, and help model agent behavior while contributing to safety benchmarks and writeups. A PhD or MSc in a quantitative field is valued.

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