Machine Learning Engineer, Threat Detection

Cybersecurity company providing password management, secrets management, privileged access, secure remote access and encrypted messaging solutions.
El Dorado Hills, CA, USAChicago, IL, USA
Machine Learning
Mid-Level Software Engineer
Remote
3+ years of experience
AI · Cybersecurity

Description For Machine Learning Engineer, Threat Detection

Keeper Security is seeking a Machine Learning Engineer to join their AI & Threat Analytics team in a fully remote capacity. The role focuses on developing advanced machine learning systems for threat detection and privileged access management. As a trusted cybersecurity software provider available in 21 languages across 120+ countries, Keeper offers an opportunity to work on next-generation autofill and classification models in their browser extension. The position involves creating systems to detect anomalous behavior, enhance access control policies, and identify threats to privileged accounts. The ideal candidate will work with large language models and vision-based ML systems, leveraging data from Keeper's Advanced Reporting and Monitoring platform. This role requires expertise in data engineering, analytics, and ML operations, with opportunities to collaborate across teams and ensure Keeper's PAM platform remains cutting-edge. The position offers comprehensive benefits and the flexibility of remote work, with hybrid options available for candidates near El Dorado Hills, CA or Chicago, IL.

Last updated a month ago

Responsibilities For Machine Learning Engineer, Threat Detection

  • Develop and implement machine learning models for threat detection, anomaly detection, and risk assessment in PAM
  • Build scalable pipelines to process and analyze data from Keeper's ARAM platform
  • Design and optimize LLM-based solutions to summarize user activity
  • Fine-tune and monitor models to improve detection accuracy
  • Implement video/image processing techniques to identify anomalous patterns
  • Collaborate with security, DevOps, and engineering teams
  • Write clean, maintainable code and provide documentation
  • Monitor, troubleshoot, and optimize models in production

Requirements For Machine Learning Engineer, Threat Detection

Python
  • 3+ years of professional experience in machine learning research or development
  • Strong programming skills in Python or similar language
  • Experience with anomaly detection, risk modeling, and behavior analysis
  • Proficiency with ML frameworks like Scikit-learn, TensorFlow, PyTorch, and Hugging Face
  • Experience with cloud platforms (AWS, GCP, Azure)
  • Experience using LLMs and video/image processing tools
  • Bachelor's or Master's degree in Computer Science, Machine Learning, Cybersecurity, or related
  • Must be a US Person due to GovCloud involvement

Benefits For Machine Learning Engineer, Threat Detection

Medical Insurance
Dental Insurance
Vision Insurance
401k
  • 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)
  • Generous PTO plan
  • Above market annual bonuses

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