Senior Machine Learning Engineer – Cybersecurity, Threat Detection

🕒 il y a 3 mois

🏄 California, Illinois – Distant

🏄 California – Remote 🌽 Illinois – Remote

⏰ Temps Plein

🟠 Senior

👮‍♂️ Cybersécurité / Ingénieur Sécurité

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Keeper Security, Inc.

Site WebLinkedInTous les Emplois

501 - 1000 employés

Fondée en 2011

🔒 Cybersecurity

☁️ SaaS

🏢 Entreprise

💰 Private Equity Round - Keeper Security en 2023-05

Cybersecurity • SaaS • Enterprise

Keeper Security, Inc. est une entreprise de cybersécurité qui fournit des solutions de gestion des accès privilégiés (PAM) et de gestion des mots de passe, basées sur le cloud et sur une architecture de confiance zéro. Sa plateforme KeeperPAM, son gestionnaire de secrets, son gestionnaire de privilèges des terminaux et ses produits connexes sécurisent les identifiants, les sessions et l'accès à distance pour les entreprises, les MSP et les organisations du secteur public, grâce à un chiffrement de bout en bout et une architecture sans connaissance. Keeper opère principalement en tant que fournisseur SaaS, met l'accent sur une conformité rigoureuse (FedRAMP, ISO, SOC 2, FIPS, PCI DSS, HIPAA) et se concentre sur la prévention des violations de données et la gestion des accès privilégiés dans des environnements de grande envergure.

Description

• Design, curate, and maintain datasets for training and evaluating threat detection models • Build custom ML models for domain-specific threat classification and risk assessment • Engineer and optimize prompts for vision-language models to analyze session behavior • Create evaluation frameworks and benchmarks to measure accuracy, robustness, and reliability • Develop Python-based inference services within Dockerized environments • Integrate AI/ML capabilities with WebSocket, WebRTC, and low-level system interfaces for real-time analysis • Write clean, maintainable code and produce clear technical documentation • Monitor, troubleshoot, and optimize models in production for performance, scalability, and reliability

🎯 Exigences

• 5+ years of professional experience in machine learning research or development • Strong proficiency in Python • Hands-on experience with dataset collection, curation, and labeling for ML training • Experience designing model evaluation frameworks and performance benchmarks • Experience working with vision-language models or large language models (e.g., GPT, Claude, Gemini, Qwen) • Familiarity with prompt engineering techniques and LLM frameworks • Experience building and deploying ML inference systems using Docker • Working knowledge of graph data structures and their practical applications • Familiarity with Git-based workflows and model repositories (e.g., Hugging Face) • Experience using cloud platforms for ML deployment and inference (AWS, GCP, and/or Azure) • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Cybersecurity, or equivalent practical experience • U.S. Person status required due to GovCloud involvement.

🏖️ Avantages

• Medical, Dental & Vision (Inclusive of domestic partnerships) • Employer Paid Life Insurance & Employee/Spouse/Child Supplemental life • Voluntary Short/Long Term Disability Insurance • 401k (Roth/Traditional) • A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc) • Above market annual bonuses