The AI Job Search Engine
Data Scientist(m/w/x)
Building breakthrough foundation models for structured data at AI firm, experimenting with novel TFMs. PhD/Masters in a quantitative field required, with deep Python knowledge. 30 days paid vacation.
Requirements
- Curiosity for hands-on exploration of cutting-edge AI
- PhD/Masters in a quantitative field
- 3 years experience building/deploying ML/AI
- Deep Python knowledge
- Strong software engineering practices
- Ability to translate complex tech into tangible value
- Drive to solve fundamental AI problems for structured data
- Kaggle Grandmaster/Master/Expert status
- Experience in Technical Consulting, Solutions Engineering, MLOps, Developer Advocacy
- Contributions to open-source libraries and data science tools
- Portfolio showcasing technical communication
Tasks
- Dive deep into novel TFMs and experiment with unique capabilities
- Build proof-of-concepts demonstrating native tabular AI solutions
- Contribute to the vision of AI as a reasoning partner for discovery
- Identify high-impact use cases for applied data science
- Develop best-practice workflows and benchmark rigorously
- Engage users to understand their challenges and showcase TFM value
- Guide onboarding for quick wins using ICL
- Translate user feedback into technical insights
- Design and deliver engaging workshops and tutorials
- Create content explaining the TFM paradigm shift
- Empower community members on platforms like Kaggle and GitHub
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Business Fluent
Benefits
More Vacation Days
- 30 days of paid vacation
Healthcare & Fitness
- Comprehensive healthcare
- Fitness benefits
Parking & Commuter Benefits
- Transportation benefits
Not a perfect match?
- Prior LabsFull-timeInternshipOn-siteBerlin, Freiburg im Breisgau
- Prior Labs
MLOps / ML Systems Engineer(m/w/x)
Full-timeOn-siteSeniorBerlin, Freiburg im Breisgau - Prior Labs
ML Engineer, Foundation Model(m/w/x)
Full-timeOn-siteExperiencedBerlin, Freiburg im Breisgaufrom 120,000 / year - Prior Labs
ML Engineer, Cloud Platform(m/w/x)
Full-timeOn-siteExperiencedBerlin, Freiburg im Breisgaufrom 140,000 / year - Black Forest Labs
Developer Relations Engineer(m/w/x)
Full-timeOn-siteExperiencedFreiburg im Breisgau
Data Scientist(m/w/x)
Building breakthrough foundation models for structured data at AI firm, experimenting with novel TFMs. PhD/Masters in a quantitative field required, with deep Python knowledge. 30 days paid vacation.
Requirements
- Curiosity for hands-on exploration of cutting-edge AI
- PhD/Masters in a quantitative field
- 3 years experience building/deploying ML/AI
- Deep Python knowledge
- Strong software engineering practices
- Ability to translate complex tech into tangible value
- Drive to solve fundamental AI problems for structured data
- Kaggle Grandmaster/Master/Expert status
- Experience in Technical Consulting, Solutions Engineering, MLOps, Developer Advocacy
- Contributions to open-source libraries and data science tools
- Portfolio showcasing technical communication
Tasks
- Dive deep into novel TFMs and experiment with unique capabilities
- Build proof-of-concepts demonstrating native tabular AI solutions
- Contribute to the vision of AI as a reasoning partner for discovery
- Identify high-impact use cases for applied data science
- Develop best-practice workflows and benchmark rigorously
- Engage users to understand their challenges and showcase TFM value
- Guide onboarding for quick wins using ICL
- Translate user feedback into technical insights
- Design and deliver engaging workshops and tutorials
- Create content explaining the TFM paradigm shift
- Empower community members on platforms like Kaggle and GitHub
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Business Fluent
Benefits
More Vacation Days
- 30 days of paid vacation
Healthcare & Fitness
- Comprehensive healthcare
- Fitness benefits
Parking & Commuter Benefits
- Transportation benefits
About the Company
Prior Labs
Industry
IT
Description
The company is building breakthrough foundation models that understand structured data, aiming to revolutionize scientific discovery and business intelligence.
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