Senior Data Scientist - Cybersecurity
Core
Building reliable machine learning solutions for AI security, focusing on identifying risks like sensitive-data exposure, unsafe content, and adversarial inputs in LLM interactions.
Role type
Senior IC machine-learning engineer (AI security/NLP)
Builds
Production ML models and evaluation frameworks for AI security use cases
Domain
Cybersecurity + Natural Language Processing
Deliverable
production ML models
Required skills
NLP, transformer-based models, Python, PyTorch/TensorFlow, Hugging Face, scikit-learn, NER, text classification, data preparation (Pandas), model evaluation design, inference optimization
Preferred skills
AI security concepts (prompt injection, PII exposure, adversarial inputs), data privacy
Technologies
Python, PyTorch, TensorFlow, Hugging Face, scikit-learn, Pandas
Responsibilities
Build and curate high-quality datasets for NLP and AI security; Train, fine-tune, and evaluate NLP and transformer-based models; Design evaluation pipelines and benchmarks; Optimize models and inference workflows for low latency and efficiency; Collaborate with AI and engineering teams to transition research into production solutions.
Seniority
Senior, hands-on IC
