At Gray Swan, we're on a mission to ensure the responsible development and deployment of AI systems. As a world leader in AI safety and security, we're looking for exceptional people to join us in shaping the future of this technology.
Our team is made up of curious minds and innovative thinkers who are passionate about making a positive impact. From groundbreaking research to developing best-in-class tools and solutions, we are devoted to addressing the most pressing challenges in AI safety and security.
We strive to maintain an inclusive, collaborative environment where every team member can thrive and make meaningful contributions. Whatever your role, you'll have the opportunity to push the state-of-the art and have real impact.
If you're dedicated to ensuring that artificial intelligence benefits everyone and want to work at the forefront of AI safety and security, we'd love to hear from you. Join us in building a future where AI is not only powerful, but also safe and secure for all.
As an AI Safety & Security Research Engineer, you'll advance the state of the art in AI safety and security while developing practical customer-facing tools and products. Your role involves developing novel methods for controlling, monitoring, testing, and analyzing foundation models, as well as building new models with a focus on scalable, real-world deployment. Staying abreast of the latest machine learning advancements is crucial, as you'll contribute to open model innovations and ensure our products remain at the forefront of AI technology. This position blends research with hands-on implementation, requiring both theoretical expertise and practical problem-solving skills to address complex challenges in AI safety and security.
As a Machine Learning Systems Research Engineer, you'll work closely with our research and engineering teams to enhance the efficiency and scalability of our solutions. You'll work on advancing our methods for controlling, monitoring, and analyzing increasingly complex and resource-intensive models. This position requires expertise in distributed systems, parallel computing, and state-of-the-art deep neural network architectures. You'll collaborate with cross-functional teams to implement novel solutions that push the boundaries of what's possible in ML system design. Your work will be crucial in enabling our platform to handle more demanding workloads and support the next generation of AI technologies. This role combines deep technical knowledge with practical engineering skills to tackle the challenges of scaling AI systems in production environments.
As a Software Engineer, you'll be an integral part of our development team, working on various projects that support our innovative AI products and overall technical infrastructure. You will collaborate closely with product managers, designers, and other engineers to build user-friendly and highly performant applications. Depending on your expertise—frontend, backend, or fullstack—you will have the opportunity to work on diverse aspects of our product ecosystem, from user interface design to database management.