Description
About Us
At Cloudflare, we're on a mission to help build a better Internet. We run one of the world's largest networks, powering millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.
We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.
Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers.
About the Team
Workers AI is Cloudflare's AI inference service, enabling customers to use a wide variety of AI models both within Cloudflare's Workers development platform and via API. The Workers AI team owns the whole stack that powers the product, from front-end development all the way to low-level inference code.
What You'll Do
The Workers AI AI/ML team is responsible for deploying AI inference on the GPUs within Cloudflare's network, as well as building innovative features that enable developers to incorporate AI into their own products. You will be a technical leader on the team responsible for maintaining the Workers AI model catalog as well as the Workers AI AI and ML inference code. You will be building products and APIs that will be used by others, and will add your strong sense of what makes a good developer experience to the team.
Examples of desirable skills, knowledge, and experience
- Experience setting the architecture and technical direction of large, cross-team and cross-functional engineering projects
- Strong communication skills
- Comfortable with tight deadlines and short release cycles
- Expert-level knowledge in Python for AI development, particularly pytorch or tensorflow.