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Research Engineer, Production Model Post Training(m/w/x)
Description
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.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •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
Education
Work Experience
approx. 1 - 4 years
Tasks
- •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 & Technologies
Languages
English – Business Fluent
Benefits
Social Impact
- •Optional equity donation matching
More Vacation Days
- •Generous vacation
Generous Parental Leave
- •Generous parental leave
Flexible Working
- •Flexible working hours
Modern Office
- •Lovely office space
- AnthropicFull-timeWith HomeofficeManagementZürich
- Lakera
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Senior ML Engineer(m/w/x)
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Research Engineer, Production Model Post Training(m/w/x)
The AI Job Search Engine
Description
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.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •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
Education
Work Experience
approx. 1 - 4 years
Tasks
- •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 & Technologies
Languages
English – Business Fluent
Benefits
Social Impact
- •Optional equity donation matching
More Vacation Days
- •Generous vacation
Generous Parental Leave
- •Generous parental leave
Flexible Working
- •Flexible working hours
Modern Office
- •Lovely office space
About the Company
Anthropic
Industry
IT
Description
The company aims to create reliable, interpretable, and steerable AI systems for safe and beneficial use.
- Anthropic
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