Recruiter (Research)

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.   ABOUT US White Circle https://whitecircle.ai is an AI Safety company building the safety, reliability, and optimization layer for AI systems. 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 others • We process over one hundred million API calls every month • We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’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 roles • Develop a deep understanding of White Circle’s research agenda, technical challenges, and the profiles required to solve them • Source talent from AI labs, research organisations, technical startups, universities, open-source communities, and relevant scientific networks • Understand the differences between Research Scientists, Research Engineers, Applied ML Engineers, and ML infra Engineers & assess candidates accordingly • Evaluate candidates’ actual contributions • Engage researchers and engineers who are not actively looking for a new role and communicate why White Circle’s problems are technically meaningful • Design structured hiring processes that assess research depth, engineering ability, originality, and real-world impact • Deliver an exceptional candidate experience, including for candidates navigating multiple highly competitive opportunities • Track recruiting performance and continuously improve sourcing strategies, processes, tools, and workflows • Support hiring outside your primary stream when business priorities require it   YOU’LL FIT RIGHT IN IF YOU: • Have 2+ years of full-cycle recruiting experience, including significant experience hiring Research and ML talent • Have personally hired for several roles comparable to Research Scientist, Research Engineer, ML Research Engineer, Applied Scientist, Multimodal ML Engineer, or ML Infrastructure Engineer • Understand what these roles do and how their responsibilities, technical depth, and candidate pools differ • Can confidently discuss LLM training and fine-tuning, inference, evaluations, data pipelines, model behaviour, multimodal learning, agent systems, and ML infra • Can interpret technical profiles beyond keywords, job titles, or company names • Know how to assess the significance of a candidate’s publications, open-source work, models, datasets, experiments, and production systems • Understand where exceptional AI research talent can be found and how to reach candidates who are not visible through conventional sourcing channels • Participate in or closely follow AI research and engineering communities • Can build credibility with highly technical candidates and communicate nuanced research problems accurately • Have experience recruiting across the US and European markets • Can act as a trusted talent advisor to technical hiring managers and research leadership • Are comfortable operating with ambiguity and continuously refining profiles as research priorities evolve • Are willing and able to recruit beyond Research roles when needed • Speak and write fluent English (C1+) A big plus: • Experience recruiting for a frontier AI lab, AI safety org, research-focused startup, or leading AI company • A strong existing network among AI researchers, research engineers, and ML infra specialists • Experience sourcing through publications, conference programs, citations, GitHub, open-source projects, research communities, and academic labs • A technical or research background in computer science, machine learning, mathematics, or a related field • Experience recruiting for an early-stage startup where the research direction and hiring requirements evolve quickly   WHY WHITE CIRCLE • Meaningful equity package • Paid time off in line with your local regulations, no matter where you work from • All the hardware, tools, and services you need • Covered subscriptions for AI agents • Team off-sites twice a year: we’ve recently been to the Alps and to Saint-Tropez   HOW WE HIRE 1. Introductory call with Head of People (25 min) 2. Take-home test 3. Final conversation with our CEO & Research Lead (45 min) Please submit your application in English.