Research Engineer, Production Model Post Training(m/w/x)

Beschreibung

Working at the intersection of research and engineering, you will scale alignment techniques like RLHF to refine frontier models and ensure they are safe and reliable.

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

Tools & Technologien

Benefits