Gray Swan

Machine Learning Engineer

• Lead the design, development, and deployment of advanced machine learning models to enhance system performance and scalability.
• Tackle complex challenges associated with resource-intensive models using distributed systems and parallel computing.
• Advance methodologies for controlling, monitoring, and analyzing machine learning models in production environments.
• Develop new approaches to adversarial testing, model evaluation, and robust inference.
• Translate research ideas into scalable AI systems deployed in real-world, adversarial settings.
• Work closely with cross-functional teams to ensure research outcomes inform production systems.