AnmeldenApp laden

Jobs › Stellenangebot

Albs | Freiburg, Germany | ONSITE or HYBRID | Full-time | Member of Technical Staff (Senior / Staff)

Albs · Remote

RemoteEnglisch

Über die Stelle

Aus der Anzeige des Arbeitgebers · Albs · veröffentlicht am 1. Oktober 2026

Albs | Freiburg, Germany | ONSITE or HYBRID | Full-time | Member of Technical Staff (Senior / Staff) Albs is an AI research lab in stealth, building real-time multimodal models (text, speech, vision) that run on-device. We treat model architecture, inference and runtime as one system, so our models hit tight budgets for latency, power and hardware cost. We are well funded, have dedicated compute for large-scale training, and publish at top venues. Small team of senior researchers and engineers. Default is 3 days a week in our Freiburg office; remote with regular visits is possible. We're adding a few senior people in:

  • Research: LLM pre-training, post-training, speech, vision-language models, model adaptation
  • Engineering: inference and hardware optimization (C++/Rust, CUDA, SIMD, NPUs), data pipelines (text and multimodal), agentic platform

Research roles: typically a PhD plus several years of experience, or an equivalent track record. Engineering roles: several years of hands-on experience in the area. Competitive salary plus equity, time to publish and present, flat hierarchy, excellent coffee. We share details on the company, team and backing in the first call. Apply: jobs@albslabs.com with your CV and a link to work you're proud of (paper, code, blog). Put your area of interest in the subject line.

Sieh deinen Match-Score für jede Stelle

BabZituna bewertet jede Stelle nach sechs echten Kriterien gegen dein Profil und zeigt dir, WARUM sie so abschneidet, auf Fairness geprüft (das öffentliche Bias-Audit lesen).

App laden → ✓ 100 % kostenlos für Jobsuchende
Wie eine Stelle abschnitt Beispiel
Fähigkeiten96Erfahrung90Standort84Arbeitsweise74Anstellungsart61GehaltKeine Daten

Beispielwerte, kein echter Kandidat. Jedes Kriterium wird aus deinem eigenen Profil mit bis zu 100 Punkten bewertet, und eines, das wir nicht messen können, sagt das, statt zu raten.