Recruiter (Research)

<p style="min-height:1.5em"><strong>TL;DR:</strong> 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.</p><div style="min-height:1.2em;margin-top:0;margin-bottom:0"> </div><h1><strong>About us</strong></h1><p style="min-height:1.5em"><a target="_blank" rel="noopener noreferrer nofollow" href="https://whitecircle.ai">White Circle</a> 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.</p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">We’ve raised $11M from top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others</p></li><li><p style="min-height:1.5em">We process over one hundred million API calls every month</p></li><li><p style="min-height:1.5em">We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model</p></li></ul><p style="min-height:1.5em">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.</p><div style="min-height:1.2em;margin-top:0;margin-bottom:0"> </div><h1><strong>You will:</strong></h1><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Own full-cycle recruitment for ML/AI Research, Multimodal ML Engineer, Research Scientist (AI Behaviours,<strong> </strong>Evals, Agentic Systems), and ML Infra roles</p></li><li><p style="min-height:1.5em">Develop a deep understanding of White Circle’s research agenda, technical challenges, and the profiles required to solve them</p></li><li><p style="min-height:1.5em">Source talent from AI labs, research organisations, technical startups, universities, open-source communities, and relevant scientific networks</p></li><li><p style="min-height:1.5em">Understand the differences between Research Scientists, Research Engineers, Applied ML Engineers, and ML infra Engineers &amp; assess candidates accordingly</p></li><li><p style="min-height:1.5em">Evaluate candidates’ actual contributions</p></li><li><p style="min-height:1.5em">Engage researchers and engineers who are not actively looking for a new role and communicate why White Circle’s problems are technically meaningful</p></li><li><p style="min-height:1.5em">Design structured hiring processes that assess research depth, engineering ability, originality, and real-world impact</p></li><li><p style="min-height:1.5em">Deliver an exceptional candidate experience, including for candidates navigating multiple highly competitive opportunities</p></li><li><p style="min-height:1.5em">Track recruiting performance and continuously improve sourcing strategies, processes, tools, and workflows</p></li><li><p style="min-height:1.5em">Support hiring outside your primary stream when business priorities require it</p></li></ul><div style="min-height:1.2em;margin-top:0;margin-bottom:0"> </div><h1><strong>You’ll fit right in if you:</strong></h1><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Have 2+ years of full-cycle recruiting experience, including significant experience hiring Research and ML talent</p></li><li><p style="min-height:1.5em">Have personally hired for several roles comparable to Research Scientist, Research Engineer, ML Research Engineer, Applied Scientist, Multimodal ML Engineer, or ML Infrastructure Engineer</p></li><li><p style="min-height:1.5em">Understand what these roles do and how their responsibilities, technical depth, and candidate pools differ</p></li><li><p style="min-height:1.5em">Can confidently discuss LLM training and fine-tuning, inference, evaluations, data pipelines, model behaviour, multimodal learning, agent systems, and ML infra</p></li><li><p style="min-height:1.5em">Can interpret technical profiles beyond keywords, job titles, or company names</p></li><li><p style="min-height:1.5em">Know how to assess the significance of a candidate’s publications, open-source work, models, datasets, experiments, and production systems</p></li><li><p style="min-height:1.5em">Understand where exceptional AI research talent can be found and how to reach candidates who are not visible through conventional sourcing channels</p></li><li><p style="min-height:1.5em">Participate in or closely follow AI research and engineering communities</p></li><li><p style="min-height:1.5em">Can build credibility with highly technical candidates and communicate nuanced research problems accurately</p></li><li><p style="min-height:1.5em">Have experience recruiting across the US and European markets</p></li><li><p style="min-height:1.5em">Can act as a trusted talent advisor to technical hiring managers and research leadership</p></li><li><p style="min-height:1.5em">Are comfortable operating with ambiguity and continuously refining profiles as research priorities evolve</p></li><li><p style="min-height:1.5em">Are willing and able to recruit beyond Research roles when needed</p></li><li><p style="min-height:1.5em">Speak and write fluent English (C1+)</p></li></ul><p style="min-height:1.5em"><strong>A big plus:</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Experience recruiting for a frontier AI lab, AI safety org, research-focused startup, or leading AI company</p></li><li><p style="min-height:1.5em">A strong existing network among AI researchers, research engineers, and ML infra specialists</p></li><li><p style="min-height:1.5em">Experience sourcing through publications, conference programs, citations, GitHub, open-source projects, research communities, and academic labs</p></li><li><p style="min-height:1.5em">A technical or research background in computer science, machine learning, mathematics, or a related field</p></li><li><p style="min-height:1.5em">Experience recruiting for an early-stage startup where the research direction and hiring requirements evolve quickly</p></li></ul><div style="min-height:1.2em;margin-top:0;margin-bottom:0"> </div><h1><strong>Why White Circle</strong></h1><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Meaningful equity package</p></li><li><p style="min-height:1.5em">Paid time off in line with your local regulations, no matter where you work from</p></li><li><p style="min-height:1.5em">All the hardware, tools, and services you need</p></li><li><p style="min-height:1.5em">Covered subscriptions for AI agents</p></li><li><p style="min-height:1.5em">Team off-sites twice a year: we’ve recently been to the Alps and to Saint-Tropez</p></li></ul><div style="min-height:1.2em;margin-top:0;margin-bottom:0"> </div><h1><strong>How we hire</strong></h1><ol style="min-height:1.5em"><li><p style="min-height:1.5em">Introductory call with Head of People (25 min)</p></li><li><p style="min-height:1.5em">Take-home test</p></li><li><p style="min-height:1.5em">Final conversation with our CEO &amp; Research Lead (45 min)</p></li></ol><p style="min-height:1.5em">Please submit your application in English.</p><p>Find more <a href="https://www.arbeitnow.fr/english-speaking-jobs">English Speaking Jobs in France</a> on Arbeitnow</a>