Senior Applied Scientist, Leo Security
Tasks
- Backtest detections against telemetry
- Build multi agent systems for security event triage and containment
- Build reinforcement learning and fine tuning pipelines
- Define end to end science lifecycle metrics
- Design and implement neurosymbolic systems
- Design evaluation frameworks for model performance
- Develop behavioral and statistical threat detection models
- Integrate symbolic reasoning over knowledge graphs with LLM agents
- Optimize language models for security reasoning
- Ship production deployment science artifacts
Perks/Benefits
Skills/Tech-stack
A I | A I Evaluation | A/B | A/B Testing | Anomaly Detection | B testing | C++ | Clustering | Deep learning | Dimensionality Reduction | Embedding-based retrieval | Graph Algorithms | Java | Knowledge graphs | LLM | Language Processing | Machine Learning | Natural Language | Natural Language Processing | NumPy | PyTorch | Python | R | Reinforcement Learning | SciPy | Scikit-learn | Spark | TensorFlow | Token Reduction
Education
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