Machine Learning Engineer

• Design and deploy advanced ML models for AI safety, bridging research and production.
• Lead development of adversarial testing, model evaluation, and robust inference approaches.
• Advance methodologies for controlling, monitoring, and analyzing ML models in production.
• Tackle resource-intensive model challenges using distributed systems and parallel computing.
• Translate research ideas into scalable AI systems deployed in adversarial settings.

This role directly contributes to AI safety by developing robust evaluation and control methods for ML models, helping to mitigate risks from advanced AI systems.

• Strong background in machine learning and deep learning.
• Experience with distributed systems and parallel computing.
• Proficiency in Python and ML frameworks like PyTorch or TensorFlow.
• Familiarity with AI safety concepts and adversarial testing.

Competitive compensation and benefits package. Opportunity to work at the forefront of AI safety research and production.

Gray Swan is an AI safety company focused on developing methods to evaluate and control advanced AI systems, ensuring they are safe and reliable.