Senior Machine Learning Engineer – Cybersecurity, Threat Detection

🕒 Fevereiro 25

🏄 California, Illinois – Remoto

🏄 California – Remote 🌽 Illinois – Remote

⏰ Tempo Integral

🟠 Sênior

👮‍♂️ Cibersegurança / Engenheiro de Segurança

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Keeper Security, Inc.

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2011

🔒 Cibersegurança

☁️ SaaS

🏢 Corporativo

💰 Private Equity Round - Keeper Security em 2023-05

Cybersecurity • SaaS • Enterprise

A Keeper Security, Inc. é uma empresa de cibersegurança que oferece soluções de gerenciamento de acesso privilegiado (PAM) e gerenciamento de senhas, com foco em nuvem e zero confianças. Sua plataforma KeeperPAM, gerente de segredos, gerente de privilégios de endpoint e produtos relacionados garantem credenciais, sessões e acesso remoto para empresas, MSPs e organizações do setor público usando criptografia de ponta a ponta e uma arquitetura de conhecimento zero. A Keeper opera principalmente como um provedor SaaS, enfatiza o cumprimento rigoroso de normas (FedRAMP, ISO, SOC 2, FIPS, PCI DSS, HIPAA) e é focada na prevenção de violação de dados e no gerenciamento de acesso privilegiado em ambientes de larga escala.

Descrição

• 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

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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