At Spell, we're looking to empower collaboration and remove barriers to entry when it comes to developing deep learning and AI-powered applications. By replacing dev-ops clutter with a clean and powerful UX, we strive to both increase the speed at which developers can iterate as well as facilitate growth within the deep learning field as a whole.
We're looking for talented engineers to help us build out our platform. Day-to-day, we work on a wide breadth of features at every level of the stack, so our engineers need to have both the curiosity and fearlessness to step out of their technical comfort zone and dive into new challenges. Our intuitive UX is a large part of what sets us apart, so an eye for empathic design that balances experience with technical complexity is also crucial.
As an organization, collaboration is key to our success and extends beyond the engineering team. We deeply value the problem-solving that arises from having a diverse set of voices that know both how to share and how to listen. We build trust in each other by being eager to help and reliable when called upon. And we keep a strong culture of mentorship and knowledge-sharing so that we can grow collectively as a team.
Our ideal candidate would have:
The technologies we use everyday include:
Platforms: Docker, Kubernetes, Kafka, AWS, Google Cloud, Azure
Spell is a collaborative platform that lets anyone run machine learning experiments.