Technical Recruiter (Berlin)

Prior Labs · Berlinsenior

In short

▸Contratar talento técnico especializado en IA, ciencia de datos y engineering en un laboratorio de frontier AI con enfoque en modelos tabulares.
▸Gestión end-to-end de contrataciones globales, con foco en laboratorios de élite como OpenAI, DeepMind y Anthropic.
▸El puesto es clave en la escalabilidad del equipo de 40+ personas con impacto en modelos de IA que se usan en salud y transporte.

Fluency in English is required for communication with global talent and hiring teams.

In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Free, no card.

What they ask for

✓5+ años en reclutamiento técnico en startups de deep-tech o laboratorios de vanguardia con enfoque en IA/ML.
✓Historial comprobable de contratación de investigadores en ML o ingenieros de investigación en laboratorios de vanguardia.
✓Experiencia directa en contratación de perfiles de engineering hacia clientes (forward-deployed, soluciones, applied engineering).
✓Experiencia hands-on en al menos dos de: Alemania, UE ampliado o EE.UU. (Nueva York).
✓Fluidez en el ecosistema de talento en ML: conferencias (NeurIPS, ICML, ICLR), laboratorios líderes y diferencias entre perfiles de investig
✓Experiencia con ATS modernos como Ashby, incluyendo diseño de etapas, taxonomía de rechazos y reportes de funnel.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

AshbyATSNeurIPSICMLICLRAutoMLOpenAIAnthropicDeepMindMistral

Who should you write to at Prior Labs?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

Who we are Foundation models transformed text and images. Structured data - the largest and most consequential data format in the world - stayed untouched, until now. What LLMs did for language, we're doing for tables. We pioneered tabular foundation models: TabPFN v2 was a Nature cover story, has passed 3.5M+ downloads and 7,500+ GitHub stars, and runs in production from detecting lung disease with Oxford Cancer Analytics to preventing train failures with Hitachi . The hardest problems - millions of rows, real-time inference, entirely new modalities - are still open, and no one else is working on them at this level. We're a small, highly selective team of 40+ with backgrounds from Google, DeepMind, Meta, Apple, Amazon, Jane Street, and CERN, led by Frank Hutter , Noah Hollmann , and Sauraj Gambhir , and advised by Bernhard Schölkopf and Turing Award winner Yann LeCun. In July 2026, less than 18 months after our €9M pre-seed, we joined SAP as an independent frontier AI lab - same team, mission, and open-weights models, now backed by more than €1 billion over four years. 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. 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 The behaviours we want you to bring everyday to the office High agency and ownership and operates as a full stack recruiter Direct and commercially honest with both candidates and hiring managers Detail-obsessed on pipeline hygiene and weekly metrics; treats the ATS as a source of truth Location: 5 days a week based in our Berlin Office (near Rosa-Luxemburg-Straße U-Bahn Station) Life at Prior Labs You'll work alongside researchers and builders who hold themselves to a very high bar - in the quality of their work and in how they work with each other. We move fast and still take the time to do things right. Our teams are based in Berlin, Freiburg, and New York - when you're working on something as hard as TabPFN, being in the same room matters.

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