Recruiter (Research)

White Circle

$100K — $120K *
Staffing
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years of full-cycle recruiting experience, particularly in AI/ML domains
  • Significant experience hiring roles similar to Research Scientist and ML Engineer
  • Deep understanding of different AI roles and their responsibilities
  • Ability to discuss technical topics like LLM training and multimodal learning
  • Experience evaluating candidates beyond traditional metrics
  • Familiarity with sourcing in unconventional channels for hidden talent
  • Fluent in English (C1+) with excellent communication skills

Responsibilities

  • Own recruitment for various AI/ML roles, from Research Scientists to ML Engineers
  • Develop an understanding of the company's research goals and technical challenges
  • Source candidates from diverse technical fields
  • Assess candidates based on technical depth and contributions
  • Engage passive candidates with compelling information about the organization
  • Design structured hiring processes to evaluate research and engineering skills
  • Track and improve recruiting performance and processes

Benefits

  • Meaningful equity package
  • Paid time off aligned with local regulations
  • Access to all necessary hardware and services
  • Covered subscriptions for AI tools
  • Team retreats twice a year to desirable locations
Full 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.

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


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.

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