Senior Machine Learning Engineer, Cybersecurity / Threat Detection jobs in United States
cer-icon
Apply on Employer Site
company-logo

Keeper Security, Inc. · 18 hours ago

Senior Machine Learning Engineer, Cybersecurity / Threat Detection

Keeper Security, Inc. is a leading cybersecurity company transforming how organizations protect their digital assets. They are seeking a Senior Machine Learning Engineer to enhance their AI-driven threat detection capabilities, focusing on detecting threats in privileged access sessions with high accuracy and low latency.

Cloud SecurityCyber SecurityIdentity ManagementSecuritySoftware
badNo H1BnoteU.S. Citizen Onlynote

Responsibilities

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

Qualification

Machine LearningPythonVision-Language ModelsML Inference SystemsDockerDataset CurationModel Evaluation FrameworksCloud PlatformsSoft Skills

Required

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

Preferred

Experience with security, fraud, abuse detection, or anomaly detection systems
Familiarity with PAM, identity, or privileged access environments
Exposure to AWS Bedrock or similar managed AI services
Knowledge of network protocols and low-level system interfaces

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

Company

Keeper Security, Inc.

company-logo
Keeper Security is transforming cybersecurity for millions of individuals and thousands of organizations globally.

Funding

Current Stage
Late Stage
Total Funding
$60.25M
Key Investors
Summit PartnersInsight Partners
2023-05-09Private Equity
2020-08-13Private Equity· $60M
2011-01-01Seed· $0.25M

Leadership Team

leader-logo
Darren Guccione
Co-founder and CEO
linkedin
leader-logo
Craig Lurey
CTO, Co-founder
linkedin
Company data provided by crunchbase