AI Research Engineer - AI Safety
Ist diese Stelle etwas für Sie?
Lebenslauf erstellen Erstellen Sie Ihren Lebenslauf und entdecken Sie Ihre Übereinstimmung mit dieser Stelle — und mit allen anderen.
Die Stelle
Define operational domains and assess the reliability of in-house AI capabilities.
Advance uncertainty quantification and calibration to gauge robustness in real-world and adversarial scenarios.
Design data collection and experimentation strategies to extract causal insights and support responsible decision-making.
Interface with deployed AI systems, perform scalable evaluations, and contribute to safety mechanisms and governance.
Requirements include a STEM MSc with strong mathematical/statistical background; solid software engineering in Python and/or Rust/Java/C++, and production deployment experience.
Nice-to-have items include a PhD in model evaluation/robustness or related fields, publications, and prior industrial AI safety experience.
Advance uncertainty quantification and calibration to gauge robustness in real-world and adversarial scenarios.
Design data collection and experimentation strategies to extract causal insights and support responsible decision-making.
Interface with deployed AI systems, perform scalable evaluations, and contribute to safety mechanisms and governance.
Requirements include a STEM MSc with strong mathematical/statistical background; solid software engineering in Python and/or Rust/Java/C++, and production deployment experience.
Nice-to-have items include a PhD in model evaluation/robustness or related fields, publications, and prior industrial AI safety experience.
Die vollständige Anzeige sehen
Aufgaben, Anforderungen, Kompetenzen und Vorteile — mit Ihrem kostenlosen Konto.
oder
Bereits ein Konto?
AnmeldenÄhnliche Stellen
Weitere Positionen, die passen könnten.