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Research Engineer / Research Scientist, Pre-training(m/w/x)
Description
You conduct research and lead projects focused on model architecture and algorithms, optimizing training infrastructure and enhancing team productivity through improved tools.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Bachelor's degree in Computer Science
- •Master's or PhD preferred
- •Strong software engineering skills
- •Expertise in Python and deep learning
- •Experience with large-scale ML systems
- •Familiarity with ML Accelerators and Kubernetes
- •Strong problem-solving skills
- •Excellent communication skills
Education
Work Experience
approx. 1 - 4 years
Tasks
- •Conduct research on model architecture and algorithms.
- •Implement solutions for data processing and optimization.
- •Lead small research projects independently.
- •Collaborate on larger research initiatives.
- •Design and analyze scientific experiments.
- •Advance understanding of large language models.
- •Optimize training infrastructure for efficiency.
- •Scale systems to improve reliability.
- •Develop dev tooling to boost productivity.
- •Contribute to low-level optimizations and model design.
Tools & Technologies
Languages
English – Business Fluent
Benefits
Competitive Pay
- •Competitive compensation
- •Optional equity matching
More Vacation Days
- •Generous vacation leave
Flexible Working
- •Flexible working hours
Modern Office
- •Collaborative office space
- MistralFull-timeWith HomeofficeNot specifiedZürich
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Research Engineer / Research Scientist, Pre-training(m/w/x)
The AI Job Search Engine
Description
You conduct research and lead projects focused on model architecture and algorithms, optimizing training infrastructure and enhancing team productivity through improved tools.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Bachelor's degree in Computer Science
- •Master's or PhD preferred
- •Strong software engineering skills
- •Expertise in Python and deep learning
- •Experience with large-scale ML systems
- •Familiarity with ML Accelerators and Kubernetes
- •Strong problem-solving skills
- •Excellent communication skills
Education
Work Experience
approx. 1 - 4 years
Tasks
- •Conduct research on model architecture and algorithms.
- •Implement solutions for data processing and optimization.
- •Lead small research projects independently.
- •Collaborate on larger research initiatives.
- •Design and analyze scientific experiments.
- •Advance understanding of large language models.
- •Optimize training infrastructure for efficiency.
- •Scale systems to improve reliability.
- •Develop dev tooling to boost productivity.
- •Contribute to low-level optimizations and model design.
Tools & Technologies
Languages
English – Business Fluent
Benefits
Competitive Pay
- •Competitive compensation
- •Optional equity matching
More Vacation Days
- •Generous vacation leave
Flexible Working
- •Flexible working hours
Modern Office
- •Collaborative office space
About the Company
Anthropic
Industry
IT
Description
Anthropic focuses on creating reliable, interpretable, and steerable AI systems to ensure AI is safe and beneficial for society.
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