Senior Machine Learning Engineer – Cybersecurity, Threat Detection

🕒 February 25

🏄 California, Illinois – Remote

🏄 California – Remote 🌽 Illinois – Remote

⏰ Full Time

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

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Keeper Security, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2011

🔒 Cybersecurity

☁️ SaaS

🏢 Enterprise

💰 Private Equity Round - Keeper Security on 2023-05

Cybersecurity • SaaS • Enterprise

Keeper Security, Inc. is a cybersecurity company that delivers cloud-first, zero-trust privileged access management (PAM) and password management solutions. Its KeeperPAM platform, secrets manager, endpoint privilege manager, and related products secure credentials, sessions, and remote access for enterprises, MSPs, and public-sector organizations using end-to-end encryption and a zero-knowledge architecture. Keeper operates primarily as a SaaS provider, emphasizes stringent compliance (FedRAMP, ISO, SOC 2, FIPS, PCI DSS, HIPAA), and is focused on preventing data breaches and managing privileged access across large-scale environments.

📋 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

🎯 Requirements

• 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.

🏖️ Benefits

• 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