Prior Labs
Research Scientist(m/w/x)
Full-timeOn-siteExperienced
Berlin
from 120,000 / year
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PRPrior Labs
Research Scientist Intern (PhD)(m/w/x)
Berlin, Freiburg im Breisgau
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
Scaling transformer architectures and building multimodal models for structured data foundation models. Top-tier publications or significant open-source contributions expected. State-of-the-art ML architecture, substantial compute resources.
Requirements
- PhD in relevant field or exceptional Master's student
- Deep experience with PyTorch and scikit-learn
- Strong engineering fundamentals and Python expertise
- Experience in data-science and tabular or time series data
- Top-tier publications or significant open-source contributions
Tasks
- Scale transformer architectures to over one million samples
- Build multimodal models combining text and tabular data
- Develop specialized architectures for forecasting and anomaly detection
- Create efficient inference methods for production deployment
- Research causal understanding within foundation models
- Design novel approaches for handling multiple related tables
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
- scikit-learn
- Python
Benefits
Mentorship & Coaching
- Strong mentorship
Learning & Development
- Professional development opportunities
Modern Equipment
- State-of-the-art ML architecture
- Substantial compute resources
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Prior Labs and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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PRPrior Labs
Research Scientist Intern (PhD)(m/w/x)
Berlin, Freiburg im Breisgau
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
Scaling transformer architectures and building multimodal models for structured data foundation models. Top-tier publications or significant open-source contributions expected. State-of-the-art ML architecture, substantial compute resources.
Requirements
- PhD in relevant field or exceptional Master's student
- Deep experience with PyTorch and scikit-learn
- Strong engineering fundamentals and Python expertise
- Experience in data-science and tabular or time series data
- Top-tier publications or significant open-source contributions
Tasks
- Scale transformer architectures to over one million samples
- Build multimodal models combining text and tabular data
- Develop specialized architectures for forecasting and anomaly detection
- Create efficient inference methods for production deployment
- Research causal understanding within foundation models
- Design novel approaches for handling multiple related tables
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
- scikit-learn
- Python
Benefits
Mentorship & Coaching
- Strong mentorship
Learning & Development
- Professional development opportunities
Modern Equipment
- State-of-the-art ML architecture
- Substantial compute resources
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Prior Labs and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Prior Labs
Industry
Science
Description
The company is building breakthrough foundation models that understand structured data, aiming to revolutionize scientific discovery and business intelligence.
Not a perfect match?
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