Recruiter (Research)

• 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
• 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+)

None flagged.