Engineer and optimize prompts for vision-language models
Keeper Security is seeking a Senior Machine Learning Engineer for their AI & Threat Analytics team, focusing on enhancing AI-driven threat detection for their cybersecurity platform. This fully remote role requires extensive experience in machine learning, particularly with vision-language models, and offers a comprehensive benefits package
Job Summary
This role focuses on a hybrid detection approach combining vision-language models (VLMs) and domain-adapted ML models to detect threats within privileged access sessions with high accuracy and low latency.
You will work in a Python-based environment processing real-time session data via WebSocket, WebRTC, and protocol-level interfaces.
Benefits include Medical, Dental & Vision, Employer Paid Life Insurance, 401k, and a generous PTO plan.
Matching Summary
Match Score: 85
Keeper Security is seeking a Senior Machine Learning Engineer for their AI & Threat Analytics team, focusing on enhancing AI-driven threat detection for their cybersecurity platform. This fully remote role requires extensive experience in machine learning, particularly with vision-language models, and offers a comprehensive benefits package.
Skills & Requirements
Must-have
Design and curate datasets for ML training
Build custom ML models for threat classification
Engineer and optimize prompts for vision-language models
Develop Python-based inference services
Integrate AI/ML with real-time interfaces
Experience with LLMs or VLMs
Nice-to-have
Experience with security systems
Familiarity with PAM environments
Knowledge of network protocols
Key Requirements
5+ years of professional ML experience
Strong proficiency in Python
Hands-on dataset collection experience
Experience designing model evaluation frameworks
Experience building and deploying ML inference systems using Docker
Bachelor’s or Master’s degree or equivalent experience