Recruiter (Research)
2 нед. назад
Remote
full-cycle recruitment
Full-cycle recruitment for AI Research, ML, data, evaluations, and ML infrastructure roles at an AI Safety company.
О компании
- White 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 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.
Другое
- 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.
- 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
- 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+)
- 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
- 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
- Introductory call with Head of People (25 min)
- Take-home test
- Final conversation with our CEO & Research Lead (45 min)
- Please submit your application in English.