# Recruiter, AI/ML Research EMEA

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA, London, United Kingdom
**Role:** Recruiting
**Skills:** AI, Machine Learning, Distributed Systems, Infrastructure, Scientific Computing, Quantitative Research, Talent Mapping, Candidate Evaluation, Compensation Strategy, Technical Recruiting
**Posted:** 2026-06-18

> 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.

## Job Description

## 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.

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