Machine Learning Engineer, PEDM - Remote

Overview

We are seeking a highly motivated and experienced Machine Learning Engineer to join our AI & Threat Analytics team. This is a 100% remote position.

In Short

• Join Keeper’s AI & Threat Analytics team as a Machine Learning Engineer.
• Work on building next-generation autofill and classification models.
• Design and deploy models to detect and analyze elevated access events.
• Utilize LLMs, transformers, and sequence architectures.
• Implement MLOps best practices for scaling ML pipelines.
• Collaborate with cross-functional teams for product alignment.
• Focus on privacy-preserving AI systems.
• Write clean and maintainable code.
• Continuously improve model performance and reliability.
• Work in a fully remote environment.

Requirements

• Experience in machine learning and AI technologies.
• Proficiency with LLMs and transformers.
• Strong programming skills, preferably in Python.
• Knowledge of MLOps and deployment pipelines.
• Experience with data augmentation and synthetic data generation.
• Familiarity with zero-trust security principles.
• Ability to work collaboratively in a remote team.
• Strong problem-solving skills and attention to detail.
• Experience with cloud and on-prem environments.
• Excellent documentation and communication skills.

Benefits

• Work in a fast-growing cybersecurity company.
• Flexible work schedule with a fully remote position.
• Opportunity to work on cutting-edge AI technology.
• Collaborative and innovative work environment.
• Competitive salary and benefits package.
• Access to continuous learning and development opportunities.
• Be part of a mission-driven team enhancing cybersecurity.
• Contribute to meaningful projects impacting global security.
• Work with a diverse and talented team.
• Engage in regular team-building and social activities.