Founding Machine Learning Engineer - adaptivesecurity

Key Responsibilities

• Architect and implement end-to-end ML pipelines for threat detection and response, from data ingestion to model deployment.
• Develop and fine‑tune deep learning and NLP models to identify emerging attack vectors and anomalous behavior.
• Collaborate with security researchers to translate novel attack patterns into actionable ML features.
• Deploy models at scale on cloud infrastructure (AWS/GCP), ensuring high availability, low latency, and robust monitoring.
• Drive continuous improvement through experimentation, A/B testing, and performance benchmarking.

Requirements

• 5+ years of experience building production ML systems in a security context.
• Proficiency in Python, TensorFlow/PyTorch, and cloud ML services.
• Strong background in deep learning, NLP, and statistical modeling.
• Hands‑on experience with cloud platforms (AWS, GCP) and CI/CD for ML.
• Excellent communication skills and a passion for solving complex security challenges.