Recruiter (Research)

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+)

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