Staff software engineer building web applications and backend systems for AI model evaluation, real-time threat detection, and adversarial red teaming for frontier AI deployments.
$210K - $260K / year
5 active roles found for Gray Swan
A weekly digest of AI safety, governance, policy and responsible AI roles.
By subscribing, you agree to receive the AI Safety Careers newsletter. We use MailerLite to send emails and may track opens and clicks to improve the newsletter. You can unsubscribe at any time. See our Privacy Policy.
5 active roles found for Gray Swan
Staff software engineer building web applications and backend systems for AI model evaluation, real-time threat detection, and adversarial red teaming for frontier AI deployments.
Senior full-stack software engineer role building AI model evaluation, threat detection, and adversarial red teaming products for frontier labs.
Machine Learning Engineer focused on AI safety solutions, including adversarial testing, model evaluation, robust inference, and monitoring for secure deployment of AI systems.
Get the best AI safety, governance, policy and responsible AI roles in your inbox.
By subscribing, you agree to receive the AI Safety Careers newsletter. We use MailerLite to send emails and may track opens and clicks to improve the newsletter. You can unsubscribe at any time. See our Privacy Policy.
Machine Learning Researcher Gray Swan Remote, USA, Remote, Global In this role, you'll conduct AI safety research to identify and defend against failure modes in advanced AI systems. Discover emerging failure modes through stress-testing cutting-edge AI models. Help enterprises deploy AI safely and at scale without compromising innovation. Inform official safety evaluations of the world's most advanced AI models. Develop research-backed solutions for emerging AI safety challenges. Gray Swan is an AI security company that develops tools that automatically assess the risks of AI models.
Machine Learning Researcher focused on AI safety research, stress-testing advanced models, and informing safety evaluations for frontier AI systems.