Senior Machine Learning Engineer, Classification and Detection (West Coast)
Core
Building classification and detection systems from scratch for enterprise AI data egress control, including behavioral scoring, PII/PHI detection, and multi-class classification of AI agent query intent.
Role type
Senior Machine Learning Engineer (Classification and Detection)
Builds
Classification models, PII/PHI detection systems, behavioral risk scoring pipelines, and evaluation harnesses for an enterprise AI control plane.
Domain
Enterprise AI security, data egress control, and regulatory compliance (HIPAA, PCI DSS, GDPR).
Deliverable
production ML models
Required skills
Transformer fine-tuning (BERT family), sequence labelling, NER, Python, PyTorch, Hugging Face Transformers, SageMaker, model evaluation and drift detection, weak supervision/active learning.
Preferred skills
Anomaly detection, model distillation/quantization, streaming pipelines (Kinesis/Kafka), SQL parsing, regulated domain experience (HIPAA/PCI/SOC2).
Technologies
PyTorch, Hugging Face Transformers, SageMaker, AWS, EKS, Terraform, Helm, Prometheus, Grafana, Kinesis, Kafka.
Responsibilities
Train, deploy, monitor, and retrain behavioral classification models; implement PII/PHI detection with span-level identification; build evaluation harnesses and drift detection loops; define and maintain classification output contracts for downstream consumers.
Seniority
Senior, hands-on IC (only ML engineer on staff, reporting to founder).
