Staff Software Engineer, Machine Learning Infrastructure - Slack
 salesforce.com, inc. | |
 United States, Texas, Dallas | |
 Apr 05, 2025 | |
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To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software EngineeringJob Details About Salesforce We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place. 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. About the Role 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. What you will be doing:
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