Senior Data Scientist
Core
Own machine-learning models in production that detect AI-enabled threats (prompt injection, data exfiltration, policy violations) and analyze detection performance for customers.
Role type
Senior IC machine-learning engineer (AI security)
Builds
Low-latency detection models, distilled models, rules-plus-ML ensembles, and evaluation benchmarks
Domain
AI security, cybersecurity, frontier AI research
Deliverable
production ML models
Required skills
Python, PyTorch, NLP, LLM fine-tuning, embeddings, classification, LLM-as-judge, statistics, drift analysis, fuzzy problem measurement
Preferred skills
adversarial ML, safety models, content-moderation models, published work on evaluations or AI security
Technologies
Python, PyTorch
Responsibilities
Train and tune classifiers for risky AI activity; design low-latency models; analyze production telemetry for drift and false positives; build evaluation benchmarks; translate policies into measurable controls
Seniority
Senior, hands-on IC
