Machine Learning Engineer, Threat Detection
Description For Machine Learning Engineer, Threat Detection
Keeper Security, a leading cybersecurity company trusted globally, is seeking a Machine Learning Engineer for their AI & Threat Analytics team. This 100% remote position offers hybrid options in El Dorado Hills, CA or Chicago, IL. The role focuses on developing advanced machine learning models for threat detection, anomaly detection, and risk assessment in privileged access management (PAM). You'll work with cutting-edge technologies including LLMs and vision-based ML systems to analyze user behavior and detect threats. The position requires expertise in data engineering, analytics, and ML operations, collaborating with cross-functional teams to enhance Keeper's security platform. The company provides comprehensive benefits including medical coverage, 401k, and generous PTO. This is an opportunity to join a fast-growing cybersecurity company that serves millions of users and thousands of organizations worldwide, working on next-generation security solutions using zero-trust and zero-knowledge security principles.
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
- 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, 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
Jobs Related To Keeper Security, Inc. Machine Learning Engineer, Threat Detection
