AI Research Engineer - AI Safety
Berlin; London; Munich
R
GBP 61K-130K (estimate) Mid-level Full Time
Tasks
- Assess reliability under distribution shifts
- Assess robustness under real world and adversarial conditions
- Characterize failure modes
- Design data collection and experimentation strategies
- Design evaluation frameworks
- Develop scalable evaluation techniques for AI products
- Enhance responsible decision making using uncertainty quantification
- Evaluate calibration methods
- Extract causal insights
- Monitor model performance in production
Perks/Benefits
- Enhanced parental leave
- Gym membership
- Learning allowance
- Mental health support
- Paid Family Emergency Leave
- Phased Return To Work
- Regular company events
- Relocation support
- Remote Work Option During Pregnancy
Skills/Tech-stack
Adversarial Machine Learning | Adversarial Robustness | Bayesian Inference | C++ | Calibration | Causal Inference | Deep learning | Distribution Shift | Distribution Shift Detection | Machine Learning | Model Evaluation | Monitoring | Out of Distribution | Out-of-distribution Detection | Platt Scaling | Python | Quality Assurance | Rust | Temperature Scaling | Testing | Uncertainty Quantification
Education
Roles
Regions
Countries
States
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