Recruiter (Research)

Job description

**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 recently raised our Series A funding round, taking our total funding to $70M. Our investors include 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 # **Compensation & benefits** - Competitive compensation package, including equity - Flexible time off - Health insurance - Mental health support, including coverage for therapy when you need it - 401(k) retirement plan - Learning and development support for courses, conferences, and opportunities to grow your skills - All the hardware, subscriptions, tools, and services you need - Team off-sites twice a year: we’ve recently been to the Alps, Saint-Tropez, and Marbella # **Process** 1. Introductory call with Head of People (25 min) 2. Take-home assignment 3. Final conversation with CEO & Head of Applied Research (45 min) Please submit your application in English.