Staff Software Engineer, Machine Learning Infrastructure - Slack
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About The Position
Slack is looking for a Machine Learning Infrastructure Engineer to help us craft a robust and powerful platform to deliver artificial intelligence and machine learning experiences to our customers. You’ll be working on building robust, scalable, reliable, and efficient infrastructure to serve cutting edge foundational models as well as more traditional machine learning models. A great candidate will have experience both with ops/infra work to run services in the cloud and a solid understanding of AI/ML and its particular infra demands. Here at Slack, we believe we can build terrific product experiences for our customers with AI, letting them tap into their organizations’ collective knowledge. We have an opportunity to develop experiences that automate mundane tasks, efficiently find answers, and sift through the massive amount of information at a company to find what’s relevant for a particular worker. We’re investing in this area in a drive to make the work lives of the millions of knowledge workers who rely on slack day to day more productive and delightful. The ML Infrastructure team, part of Slack’s Core Infrastructure organization, is responsible for delivering the platform, infrastructure, and expertise in ML/AI to make this product vision possible. We’ve built out much of this already as part of our Recommendation API, but the needs of foundational AI models, with their unique development model and architectural needs, will require even further investment in our capabilities. We’re looking to hire machine learning infrastructure engineers who can help us deliver on that mission.
