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Research Scientist Intern (PhD)(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- PyTorch
- scikit-learn
- Python
Benefits
Mentoring & Coaching
- Strong mentorship
Weiterbildungsangebote
- Professional development opportunities
Moderne Technikausstattung
- State-of-the-art ML architecture
- Substantial compute resources
Noch nicht perfekt?
- Prior LabsVollzeitnur vor OrtBerufserfahrenBerlinab 120.000 / Jahr
- Prior Labs
ML Engineer, Foundation Model(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBerlin, Freiburg im Breisgauab 120.000 / Jahr - Prior Labs
MLOps / ML Systems Engineer(m/w/x)
Vollzeitnur vor OrtSeniorBerlin, Freiburg im Breisgau - Prior Labs
Data Scientist(m/w/x)
Vollzeitnur vor OrtBerufserfahrenFreiburg im Breisgau, Berlin - Helsing
AI Research Engineer - Foundation Models(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBerlin, München
Research Scientist Intern (PhD)(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- PyTorch
- scikit-learn
- Python
Benefits
Mentoring & Coaching
- Strong mentorship
Weiterbildungsangebote
- Professional development opportunities
Moderne Technikausstattung
- State-of-the-art ML architecture
- Substantial compute resources
Über das Unternehmen
Prior Labs
Branche
Science
Beschreibung
The company is building breakthrough foundation models that understand structured data, aiming to revolutionize scientific discovery and business intelligence.
Noch nicht perfekt?
- Prior Labs
Research Scientist(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBerlinab 120.000 / Jahr - Prior Labs
ML Engineer, Foundation Model(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBerlin, Freiburg im Breisgauab 120.000 / Jahr - Prior Labs
MLOps / ML Systems Engineer(m/w/x)
Vollzeitnur vor OrtSeniorBerlin, Freiburg im Breisgau - Prior Labs
Data Scientist(m/w/x)
Vollzeitnur vor OrtBerufserfahrenFreiburg im Breisgau, Berlin - Helsing
AI Research Engineer - Foundation Models(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBerlin, München