Senior Data Scientist - Cybersecurity
Core
Build and optimize NLP models to detect risks in AI interactions, including sensitive data exposure, unsafe content, and adversarial prompts.
Role type
Senior IC machine-learning engineer (NLP/AI security)
Builds
Production ML models for real-time risk detection and classification in AI applications
Domain
Artificial Intelligence / Cybersecurity / NLP
Deliverable
production ML models
Required skills
NLP, transformer-based models, Python, PyTorch, TensorFlow, Hugging Face, scikit-learn, Named Entity Recognition (NER), text classification, data curation, model evaluation, inference optimization
Preferred skills
AI security concepts (prompt injection, PII exposure, adversarial inputs), synthetic data generation, low-latency workflow design
Responsibilities
Build, curate, and maintain datasets for NLP and AI security use cases; Train, fine-tune, and evaluate NLP and transformer-based models; Develop custom classifiers and NER models; Design evaluation pipelines and benchmarks; Optimize models and inference workflows for production environments; Collaborate with engineering teams to move models to production
Seniority
Senior, hands-on IC
