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 AI Research, ML, data, evaluations, and ML infra roles

• Develop a deep understanding of White Circle’s research agenda, technical challenges, and the profiles required to solve them

• Partner closely with research leadership and CEO to define highly specialised candidate profiles

• 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

• Follow developments in AI safety, model behavior, evaluations, multimodal systems, agentic systems, data quality, post-training, and ML infrastructure

• 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 behavior, 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.