TL;DR: We’re looking for an AI Research Recruiter who knows where exceptional AI Researchers and engineers can be found.
You’ll own full-cycle hiring across research, machine learning, data, evaluations, and ML infrastructure, helping us build one of the strongest teams in AI safety.
At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do.
We automatically test, enforce, and continuously improve these policies at scale.
We’ve raised $11M from top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and othersWe process over one hundred million API calls every monthWe fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary modelWe’re a small, highly focused team.
If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need.
You will:Own full-cycle recruitment for ML/AI Research, Multimodal ML Engineer, Research Scientist (AI Behaviours, Evals, Agentic Systems), and ML Infra rolesDevelop a deep understanding of White Circle’s research agenda, technical challenges, and the profiles required to solve themSource talent from AI labs, research organisations, technical startups, universities, open-source communities, and relevant scientific networksUnderstand the differences between Research Scientists, Research Engineers, Applied ML Engineers, and ML infra Engineers & assess candidates accordinglyEvaluate candidates’ actual contributionsEngage researchers and engineers who are not actively looking for a new role and communicate why White Circle’s problems are technically meaningfulDesign structured hiring processes that assess research depth, engineering ability, originality, and real-world impactDeliv.