Gray Swan provides enterprise-grade security solutions for LLMs, developed by the pioneers of AI vulnerability research. Deploy AI with confidence using just two lines of code. Backed by Madrona.
About 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.
What they're looking for
- Experience in building and deploying machine learning models and systems
- Demonstrated expertise in designing, training, and deploying deep learning models with frameworks like PyTorch
- Strong programming experience in Python and C++ (preferred)
- Practical experience developing scalable machine learning pipelines and integrating them with cloud infrastructure (e.g., AWS, GCP, Azure)
- Experience conducting ML research, including building research prototype systems, experiment design, empirical analysis of results, and communicating results via publications
- Good to have: experience with modern ML methods such as LLMs (training, finetuning, and/or analyzing), synthetic data generation pipelines, and AI safety or security work
More about this role
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 .
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...
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