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 usWhite Circle 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 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 AI Research, ML, data, evaluations, and ML infra rolesDevelop a deep understanding of White Circle’s research agenda, technical challenges, and the profiles required to solve themPartner closely with research leadership and CEO to define highly specialised candidate profilesSource 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 meaningfulFollow developments in AI safety, model behavior, evaluations, multimodal systems, agentic systems, data quality, post-training, and ML infrastructureDesign structured hiring processes that assess research depth, engineering ability, originality, and real-world impactDeliver an exceptional candidate experience, including for candidates navigating multiple highly competitive opportunitiesTrack recruiting performance and continuously improve sourcing strategies, processes, tools, and workflowsSupport 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 talentHave personally hired for several roles comparable to Research Scientist, Research Engineer, ML Research Engineer, Applied Scientist, Multimodal ML Engineer, or ML Infrastructure EngineerUnderstand what these roles do and how their responsibilities, technical depth, and candidate pools differCan confidently discuss LLM training and fine-tuning, inference, evaluations, data pipelines, model behavior, multimodal learning, agent systems, and ML infraCan interpret technical profiles beyond keywords, job titles, or company namesKnow how to assess the significance of a candidate’s publications, open-source work, models, datasets, experiments, and production systemsUnderstand where exceptional AI research talent can be found and how to reach candidates who are not visible through conventional sourcing channelsParticipate in or closely follow AI research and engineering communitiesCan build credibility with highly technical candidates and communicate nuanced research problems accuratelyHave experience recruiting across the US and European marketsCan act as a trusted talent advisor to technical hiring managers and research leadershipAre comfortable operating with ambiguity and continuously refining profiles as research priorities evolveAre willing and able to recruit beyond research roles when neededSpeak and write fluent English (C1+)A big plus:Experience recruiting for a frontier AI lab, AI safety org, research-focused startup, or leading AI companyA strong existing network among AI researchers, research engineers, and ML infra specialistsExperience sourcing through publications, conference programs, citations, GitHub, open-source projects, research communities, and academic labsA technical or research background in computer science, machine learning, mathematics, or a related fieldExperience recruiting for an early-stage startup where the research direction and hiring

Requirements

evolve quickly Why White CircleMeaningful equity packagePaid time off in line with your local regulations, no matter where you work fromAll the hardware, tools, and services you needCovered subscriptions for AI agentsTeam off-sites twice a year: we’ve recently been to the Alps and to Saint-Tropez How we hireIntroductory call with Head of People (25 min)Take-home testFinal conversation with our CEO & Research Lead (45 min)Please submit your application in English.Find Jobs in United Kingdom on Arbeitnow