Dein persönlicher KI-Karriere-Agent
Research Engineer, Production Model Post Training(m/w/x)
Optimizing large-scale AI models for reliability and interpretability at an AI systems developer focused on safety. Strong software engineering and ML skills, plus large-scale distributed systems experience required. Optional equity donation matching, generous vacation and parental leave.
Anforderungen
- Ability to juggle multiple urgent priorities
- Quick adaptation to changing priorities
- Clarity in debugging complex issues
- Strong software engineering and ML skills
- Experience with large-scale distributed systems
- Experience training or fine-tuning LLMs
- Balance of research and engineering rigor
- Adeptness at analyzing model training
- Enjoyment of cross-disciplinary collaboration
- Ability to navigate research ambiguity
- Experience with LLMs
- Interest in AI safety
- Proficiency in Python and deep learning
- Bachelor's degree or equivalent experience
Aufgaben
- Implement and optimize large-scale post-training techniques
- Develop post-training recipes to improve model quality
- Design and run efficient fine-tuning pipelines
- Build tools to measure model performance dimensions
- Translate emerging research into production-ready implementations
- Debug complex training pipeline and model issues
- Establish best practices for reproducible model training
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- deep learning frameworks
- distributed computing
- large language models
Benefits
Gemeinnützige Ausrichtung
- Optional equity donation matching
Mehr Urlaubstage
- Generous vacation
Großzügige Elternzeit
- Generous parental leave
Flexibles Arbeiten
- Flexible working hours
Modernes Büro
- Lovely office space
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Research Engineer, Production Model Post Training(m/w/x)
Optimizing large-scale AI models for reliability and interpretability at an AI systems developer focused on safety. Strong software engineering and ML skills, plus large-scale distributed systems experience required. Optional equity donation matching, generous vacation and parental leave.
Anforderungen
- Ability to juggle multiple urgent priorities
- Quick adaptation to changing priorities
- Clarity in debugging complex issues
- Strong software engineering and ML skills
- Experience with large-scale distributed systems
- Experience training or fine-tuning LLMs
- Balance of research and engineering rigor
- Adeptness at analyzing model training
- Enjoyment of cross-disciplinary collaboration
- Ability to navigate research ambiguity
- Experience with LLMs
- Interest in AI safety
- Proficiency in Python and deep learning
- Bachelor's degree or equivalent experience
Aufgaben
- Implement and optimize large-scale post-training techniques
- Develop post-training recipes to improve model quality
- Design and run efficient fine-tuning pipelines
- Build tools to measure model performance dimensions
- Translate emerging research into production-ready implementations
- Debug complex training pipeline and model issues
- Establish best practices for reproducible model training
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- deep learning frameworks
- distributed computing
- large language models
Benefits
Gemeinnützige Ausrichtung
- Optional equity donation matching
Mehr Urlaubstage
- Generous vacation
Großzügige Elternzeit
- Generous parental leave
Flexibles Arbeiten
- Flexible working hours
Modernes Büro
- Lovely office space
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Anthropic
Branche
IT
Beschreibung
The company aims to create reliable, interpretable, and steerable AI systems for safe and beneficial use.
Noch nicht perfekt?
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