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 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.