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 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 our CEO & Head of Applied Research (45 min)

Please submit your application in English.