The AI Job Search Engine
Research Engineer / Research Scientist, Pretraining(m/w/x)
Description
You will advance multimodal LLMs in Zurich by blending cutting-edge research with practical engineering to build the next generation of safe, scalable, and highly efficient AI systems.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Degree in Computer Science or related field
- •Strong software engineering skills
- •Expertise in Python and deep learning
- •Experience with large-scale ML systems
- •Familiarity with ML Accelerators and Kubernetes
- •Problem-solving skills and results-oriented mindset
- •Excellent communication and collaboration skills
- •Significant software engineering experience
- •Ability to balance research and engineering
- •Willingness to support team tasks
- •Enjoyment of pair programming
- •Eagerness to learn machine learning research
- •Enthusiasm for large-scale AI research
- •Ambition for AI safety and progress
Education
Work Experience
approx. 1 - 4 years
Tasks
- •Research and implement model architectures
- •Develop algorithms and optimizers
- •Process and prepare large-scale datasets
- •Lead independent research projects
- •Collaborate on large-scale team initiatives
- •Design and analyze scientific experiments
- •Optimize and scale training infrastructure
- •Improve developer tooling and productivity
- •Optimize throughput for novel attention mechanisms
- •Propose and experimentally compare Transformer variants
- •Scale distributed training to thousands of accelerators
- •Design fault tolerance for training infrastructure
- •Create interactive visualizations of model internals
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 HomeofficeSeniorZürich
- Anthropic
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Research Engineer / Research Scientist, Pretraining(m/w/x)
The AI Job Search Engine
Description
You will advance multimodal LLMs in Zurich by blending cutting-edge research with practical engineering to build the next generation of safe, scalable, and highly efficient AI systems.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Degree in Computer Science or related field
- •Strong software engineering skills
- •Expertise in Python and deep learning
- •Experience with large-scale ML systems
- •Familiarity with ML Accelerators and Kubernetes
- •Problem-solving skills and results-oriented mindset
- •Excellent communication and collaboration skills
- •Significant software engineering experience
- •Ability to balance research and engineering
- •Willingness to support team tasks
- •Enjoyment of pair programming
- •Eagerness to learn machine learning research
- •Enthusiasm for large-scale AI research
- •Ambition for AI safety and progress
Education
Work Experience
approx. 1 - 4 years
Tasks
- •Research and implement model architectures
- •Develop algorithms and optimizers
- •Process and prepare large-scale datasets
- •Lead independent research projects
- •Collaborate on large-scale team initiatives
- •Design and analyze scientific experiments
- •Optimize and scale training infrastructure
- •Improve developer tooling and productivity
- •Optimize throughput for novel attention mechanisms
- •Propose and experimentally compare Transformer variants
- •Scale distributed training to thousands of accelerators
- •Design fault tolerance for training infrastructure
- •Create interactive visualizations of model internals
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
Research
Description
The company aims to create reliable, interpretable, and steerable AI systems for safe and beneficial use.
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