Machine Learning Engineer @ Gray Swan AI

AI Startup

On-siteOn-siteFull-time$140k – $220k / year

About this role

Machine Learning Engineer @ Gray Swan AI - Back to Gray Swan AI’s Job Listings Machine Learning Engineer Location Pittsburgh Employment Type Full time Location Type On-site Department Machine Learning Compensation - Estimated Base Salary $160K – $257K • Offers Equity • Offers Bonus About Gray Swan Gray Swan is on a mission to empower the world to use AI safely and securely. We evaluate AI models for the leading frontier labs along with building real-time threat detection and adaptive adversarial red teaming agents for teams deploying AI. We're a team of approximately 50 people, well-funded, growing quickly. Our work directly influences how the world deploys AI agents and systems at scale. Learn more about how we work. The Role As a Machine Learning Engineer at Gray Swan AI, you will play a pivotal role in shaping the future of AI safety solutions. Research at Gray Swan AI is tightly tied to real-world impact. AI security is not a solved problem, and this role is a mix of applied research and system building: developing new approaches to adversarial testing, model evaluation, and robust inference that directly inform how secure AI systems are deployed in practice. You will work at the boundary between research and production, translating novel ideas into scalable AI systems that withstand adversarial pressure. Your expertise in state-of-the-art deep learning architectures, distributed systems, and parallel computing will enable you to tackle complex challenges associated with resource-intensive models. You will be responsible for advancing our methodologies for controlling, monitoring, and analyzing these models, ensuring they meet the rigorous demands of production environments. Join Gray Swan AI to work alongside leading minds in AI safety and apply your technical depth to problems that genuinely matter! What You’ll Do Lead the design, development, and deployment of advanced machine learning models to enhance system

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