Machine Learning Engineer

Develop machine learning systems for AI safety through adversarial testing, model evaluation, and robust inference at scale.
- Design and deploy advanced ML models for adversarial testing and real-time threat detection in production environments.
- Develop scalable ML pipelines using distributed systems, deep learning frameworks, and cloud infrastructure.
- Advance methodologies for controlling, monitoring, and analyzing models to ensure security and robustness.
- Requires bachelor's degree in computer science or related field plus demonstrated expertise building and deploying deep learning models.
- Experience with PyTorch, Python, cloud platforms (AWS/GCP/Azure), and ML research prototyping essential.

Gray Swan is an AI security company that develops tools that automatically assess the risks of AI models.