Recruiter, AI/ML Research EMEA
Apply at source. OpenAI handles the application directly; Houtini doesn't take a fee from candidates or companies. We curate which companies appear; the listings come from yubhub.
What the team is looking for.
About the Team
OpenAI's mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing the world's most exceptional talent under one roof to push the boundaries of what's possible.
Our Research Recruiting team plays a critical role in this effort. We are an embedded part of the research organization, working side by side with our research staff to deeply understand evolving priorities, build trust, and strategically shape the future of OpenAI's talent.
About the Role
You will own and execute long-term talent strategies to identify, engage, and recruit many of the world's leading and emerging AI researchers, research engineers, and technical scientists working at the frontier of machine learning. This is not a traditional execution-focused recruiting role.
You will operate as a strategic partner to OpenAI's research staff, helping define hiring priorities, shape search strategy, influence candidate evaluation, and guide hiring decisions that directly impact the direction and quality of our frontier-model research and fulfillment of our mission.
Responsibilities
- Partner directly 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 closely with your 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 within highly technical or specialized environments 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.
Workplace & Location
This role is based in our London office and we aren't considering remote applications at this time. We use a hybrid work model of 3 days in the office with optional work from home on Thursdays and Fridays. We also offer relocation assistance to new employees.
Our open-plan offices have height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, outdoor space for working and socializing, wellness rooms, private bike storage, and more.
- AI research
- talent acquisition
- strategic partnership
- candidate evaluation
- compensation strategy
- ML/AI
- distributed systems
- infrastructure
- scientific computing
- quantitative research
Other roles you might consider.
Filtered through the same AI-companies allowlist.
GTM Senior Recruiter
Cursor
Onboarding specialist (intern)
Mistral AI
People Research Scientist, Recruiting
Anthropic
People Research Scientist, People
Anthropic
Sourcer
Replit
Technical Recruiter
Cursor
New to AI work? Start with these.
Six pieces of orientation. Most AI-company job specs assume you've done this kind of hands-on work already. If you haven't, an afternoon with one of these is the cheapest way to close the gap.
Claude Desktop, from zero.
The agentic-AI assistant most of the people you'd be working alongside use every day. Install, configure, first useful prompts.
What MCPs areThe best MCPs for Claude Desktop.
MCP servers extend an AI assistant with tools and data. The catalogue most teams use. Useful technical context for any AI-engineering role.
Code with AIClaude Code, the complete beginners' guide.
The CLI for AI-paired development. Required reading if you're applying for any engineering role that mentions agents, or any role full stop.
Run a local modelHow to set up LM Studio.
Running a model on your own machine teaches you more about how AI products work in three hours than a year of using ChatGPT will.
The hardware realityBeginner's guide to AI hardware.
What the infrastructure under the model actually looks like. Useful context for infrastructure, applied-AI and hardware roles.
Browse the stackMCP catalogue.
Eleven MCP servers Houtini maintains or recommends. Each detail page describes a real piece of working AI infrastructure.