Machine Learning Engineer

Job Summary

To support the development of AI-powered security systems, the full-time Machine Learning Engineer will design, train, and deploy high-performance ML models optimized for security detection, working collaboratively with cross-functional teams in a remote or onsite capacity across various locations including Sunnyvale, CA, India, and Athens, Greece.

Key Responsibilities:

• Design, train, fine-tune, and evaluate machine learning models for security detection use cases
• Build lightweight, high-performance models optimized for low latency and operational reliability
• Partner with security researchers to transform detection logic into ML-powered systems

Required Qualifications:

• 2+ years of experience in Machine Learning Engineering or Applied AI
• Strong experience building and deploying ML systems in production
• Experience fine-tuning transformer models or large language models (LLMs)
• Proficiency in Python and modern ML frameworks such as PyTorch or TensorFlow
• Solid understanding of model evaluation, experimentation, and data pipelines