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ML Engineer, Foundation Model(m/w/x)
Description
As an ML Engineer focused on foundation models, you will play a crucial role in developing innovative AI solutions for structured data, enhancing training pipelines, and optimizing performance while maintaining high-quality code.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
Education
Work Experience
approx. 1 - 4 years
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
Tools & Technologies
Languages
English – Business Fluent
Benefits
More Vacation Days
- •30 days of paid vacation
Healthcare & Fitness
- •Comprehensive healthcare
- •Fitness benefits
Public Transport Subsidies
- •Transportation benefits
- HelsingFull-timeOn-siteExperiencedBerlin, München
- Prior Labs
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ML Engineer, Foundation Model(m/w/x)
The AI Job Search Engine
Description
As an ML Engineer focused on foundation models, you will play a crucial role in developing innovative AI solutions for structured data, enhancing training pipelines, and optimizing performance while maintaining high-quality code.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
Education
Work Experience
approx. 1 - 4 years
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
Tools & Technologies
Languages
English – Business Fluent
Benefits
More Vacation Days
- •30 days of paid vacation
Healthcare & Fitness
- •Comprehensive healthcare
- •Fitness benefits
Public Transport Subsidies
- •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.
- Helsing
AI Research Engineer - Foundation Models(m/w/x)
Full-timeOn-siteExperiencedBerlin, München - Prior Labs
MLOps / ML Systems Engineer(m/w/x)
Full-timeOn-siteSeniorBerlin, Freiburg im Breisgau - Prior Labs
ML Engineer, Cloud Platform(m/w/x)
Full-timeOn-siteExperiencedfrom 140,000 / yearBerlin, Freiburg im Breisgau - Prior Labs
ML Engineer, Forward Deployed(m/w/x)
Full-timeOn-siteExperiencedfrom 110,000 / yearBerlin - Perplexity
Machine Learning Research Engineer - Search(m/w/x)
Full-timeOn-siteExperiencedBerlin