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ML Engineer, Foundation Model(m/w/x)
Building and optimizing training pipelines for large-scale tabular foundation models, enhancing experiment tracking. Deep experience with PyTorch/Scikit-Learn and deploying ML systems required. 30 days paid vacation.
Requirements
- Strong engineering fundamentals
- Deep experience with ML frameworks, especially PyTorch, Scikit-Learn
- Proven track record of implementing and deploying ML systems
- Passion for writing clean, maintainable, and well-documented code
- Demonstrated interest in foundation models and their real-world applications
- Master's degree or PhD in Computer Science or related technical field
- Contributions to open-source projects in related fields
- Experience implementing large language models or foundation models
- Track record of implementing papers
- Background in ML infrastructure and tooling
- Experience with distributed training systems
Tasks
- Build and improve training pipelines for large-scale tabular foundation models
- Design modular architectures for rapid experimentation
- Optimize training and inference performance
- Enhance experiment tracking and evaluation systems
- Create efficient data processing pipelines for tabular data
- Maintain clean and documented codebases
- Design scalable serving architecture for models
- Implement deployment pipelines
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- Scikit-Learn
Benefits
More Vacation Days
- 30 days of paid vacation
Healthcare & Fitness
- Comprehensive healthcare
- Fitness benefits
Public Transport Subsidies
- Transportation benefits
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ML Engineer, Foundation Model(m/w/x)
Building and optimizing training pipelines for large-scale tabular foundation models, enhancing experiment tracking. Deep experience with PyTorch/Scikit-Learn and deploying ML systems required. 30 days paid vacation.
Requirements
- Strong engineering fundamentals
- Deep experience with ML frameworks, especially PyTorch, Scikit-Learn
- Proven track record of implementing and deploying ML systems
- Passion for writing clean, maintainable, and well-documented code
- Demonstrated interest in foundation models and their real-world applications
- Master's degree or PhD in Computer Science or related technical field
- Contributions to open-source projects in related fields
- Experience implementing large language models or foundation models
- Track record of implementing papers
- Background in ML infrastructure and tooling
- Experience with distributed training systems
Tasks
- Build and improve training pipelines for large-scale tabular foundation models
- Design modular architectures for rapid experimentation
- Optimize training and inference performance
- Enhance experiment tracking and evaluation systems
- Create efficient data processing pipelines for tabular data
- Maintain clean and documented codebases
- Design scalable serving architecture for models
- Implement deployment pipelines
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- Scikit-Learn
Benefits
More Vacation Days
- 30 days of paid vacation
Healthcare & Fitness
- Comprehensive healthcare
- Fitness benefits
Public Transport Subsidies
- Transportation benefits
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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.
Not a perfect match?
- Helsing
AI Research Engineer - ML Engineering(m/w/x)
Full-timeOn-siteExperiencedBerlin, München - Helsing
AI Research Engineer - Foundation Models(m/w/x)
Full-timeOn-siteExperiencedBerlin, München - Prior Labs
ML Engineer, Forward Deployed(m/w/x)
Full-timeOn-siteExperiencedBerlinfrom 110,000 / year - Prior Labs
ML Engineer, Cloud Platform(m/w/x)
Full-timeOn-siteExperiencedBerlin, Freiburg im Breisgaufrom 140,000 / year - Perplexity
Machine Learning Research Engineer(m/w/x)
Full-timeOn-siteExperiencedBerlin