Recruiter, AI/ML Research EMEA
The recruiter will develop and lead strategic searches for AI/ML researchers, research engineers, and technical scientists, partnering closely with research leadership on priorities, evaluation, and closing. The role requires significant technical recruiting experience and comfort with complex, ambiguous searches.
About the job
Responsibilities
- Partner with research and technical staff to define hiring priorities, shape search strategies, and anticipate future talent needs as technical roadmaps evolve.
- Proactively identify and cultivate exceptional AI/ML research talent across industry, academia, and emerging labs, often before formal hiring needs exist.
- Use market insights and candidate signals to influence hiring decisions, leveling, and compensation strategy for highly specialized research roles.
- Serve as a trusted advisor throughout candidate evaluation and closing, helping leaders calibrate for research excellence, long-term potential, and organizational fit.
- Collaborate with a sourcing partner to execute complex, high-impact searches in ambiguous or rapidly evolving technical domains.
Requirements
- Significant experience recruiting within highly technical or specialized environments.
- Deep interest in AI research and a desire to engage directly with global research communities.
- Experience recruiting in areas such as ML/AI, distributed systems, infrastructure, scientific computing, or quantitative research.
- Track record of leading complex, ambiguous technical searches from early talent mapping through close.
- Experience navigating high-stakes negotiations with senior technical or research candidates.
- Comfort operating in fast-moving environments where hiring priorities and role definitions may evolve over time.
Compensation & Benefits
- Hybrid work model with three days in the London office and optional work from home on Thursdays and Fridays.
- Relocation assistance.
- Height-adjustable desks, conference rooms, phone booths, stocked kitchens, three in-house prepared meals daily, outdoor workspace, wellness rooms, and private bike storage.
Skills
AI, Machine Learning, Distributed Systems, Infrastructure, Scientific Computing, Quantitative Research, Talent Mapping, Candidate Evaluation, Compensation Strategy, Technical Recruiting
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