Machine Learning Engineer, PEDM
Description For Machine Learning Engineer, PEDM
Keeper Security is seeking a Machine Learning Engineer to join their AI & Threat Analytics team in a fully remote capacity. This role focuses on developing and implementing advanced ML solutions for Privilege Elevation and Delegation Management (PEDM). The position involves working with cutting-edge technologies including LLMs, transformers, and sequence architectures to build production-grade, privacy-preserving AI systems that operate at scale.
The company is a leader in cybersecurity, providing zero-trust privileged access management solutions trusted by millions globally. Their software is available in 21 languages and used in over 120 countries. The role offers an opportunity to work on next-generation autofill and classification models in their browser extension.
The ideal candidate will have strong experience in ML engineering, particularly in cybersecurity or NLP, with expertise in Python and modern ML frameworks. They will be responsible for building and deploying models that detect, classify, and analyze elevated access events and user behaviors in real time. The position requires a blend of technical expertise in machine learning, security awareness, and practical software engineering skills.
This is an excellent opportunity for a seasoned ML engineer who wants to make a significant impact in the cybersecurity space while working with state-of-the-art AI technologies. The role offers comprehensive benefits including medical coverage, 401k, and competitive bonuses, making it an attractive position for those looking to advance their career in AI and security.
Responsibilities For Machine Learning Engineer, PEDM
- Build, fine-tune, and deploy models using LLMs, transformers, and sequence architectures
- Build classifiers for behavioral and temporal signals from user and system activity data
- Generate and augment datasets using synthetic, multilingual data
- Scale ML experimentation and deployment pipelines
- Create systems for cloud, on-prem, and self-hosted environments
- Continuously improve model performance, latency, and reliability
- Implement secure, privacy-aware inference strategies
- Collaborate with cross-functional teams
- Write clean, maintainable code and documentation
Requirements For Machine Learning Engineer, PEDM
- 5+ years of professional experience in ML engineering or research
- Strong coding skills in Python, JavaScript (React), or similar language
- Experience with using and fine-tuning large language models
- Proficiency with ML frameworks like TensorFlow, PyTorch, and Hugging Face
- Familiarity with MLOps, model deployment, and monitoring practices
- Experience with model validation and metrics
- Familiarity with cloud platforms (AWS, GCP, Azure)
- Knowledge of secure coding, encryption, zero-trust principles
- Bachelor's or Master's degree in Computer Science or related field
- Must be a US Person due to GovCloud involvement
Benefits For Machine Learning Engineer, PEDM
- Medical, Dental & Vision (Inclusive of domestic partnerships)
- Employer Paid Life Insurance & Supplemental life
- Voluntary Short/Long Term Disability Insurance
- 401k (Roth/Traditional)
- Generous PTO plan
- Above market annual bonuses
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