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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.
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
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
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- deep learning frameworks
- distributed computing
- large language models
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
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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.
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
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
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- deep learning frameworks
- distributed computing
- large language models
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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Anthropic
Industry
IT
Description
The company aims to create reliable, interpretable, and steerable AI systems for safe and beneficial use.
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