Prior Labs · Foundation models
Technical Recruiter (Berlin)
- Berlin (On‑site)
- Full-time
Still open on Prior Labs's site · checked just now
- Posted
Technical Recruiter (Berlin)
Prior Labs
What you'll do
As written by Prior Labs · Read the original
About the Role
We're hiring a technical recruiter to own hiring across Science, Engineering and Data Science. These are three distinct talent markets with three distinct assessment bars, and you'll own all of them end-to-end. We're scaling fast, and competing directly with the best-funded labs in the world for the same people.
Your Responsibilities
Source scarce ML research, infrastructure, and forward-deployed talent globally, exploring mainstream and niche talent pools
Position Prior Labs compellingly against other foundation model labs such as OpenAI, Anthropic, DeepMind, and Mistral and against the enterprise AI companies competing for FDE talent
Navigate multi-hub hiring across Freiburg, Berlin, and New York (visas, comp bands, notice periods)
Screen technical depth quickly across research, engineering, and customer-facing profiles without burning researcher or founder time
Run efficient, structured interview loops with clear rubrics and fast debriefs, calibrated separately for research, engineering, and FDE archetypes
Manage, negotiate and close offers, including against competing frontier-lab packages
Manage the pipeline operationally in the ATS with clean stages and weekly metrics
Requirements
The experience we are looking for
5+ years in-house technical recruiting at a deep-tech, AI/ML, or research-led startup (Series A and ), or in a frontier lab's talent team
Track record closing ML researchers or research engineers against top tier frontier labs (e.g. OpenAI, Anthropic, DeepMind, Mistral)
Experience hiring at least one customer-facing engineering profile (forward deployed, solutions, or applied engineering) — the assessment bar is different and you'll need to know why
Hands-on hiring across at least two of: Germany, wider EU, and the US (NYC)
Fluency in the ML talent landscape: top labs, conferences (NeurIPS, ICML, ICLR, AutoML), and what distinguishes a strong research vs. engineering vs. infrastructure profile
Modern ATS architecture (Ashby or equivalent): stage design, rejection taxonomy, funnel reporting
Skills
Working languages
English
Company
Last checked . The details above were extracted automatically; the employer's original posting is the authority.
