Jupiter (YC S19) | Senior Machine Learning Engineer and Full-Stack Product Engineer | Full-Time | SF/Remote
At Jupiter, we’re on a mission to build grocery shopping from the ground up, the way it was meant to be built - to be automated, personalized, and fun. In applying best-in-class machine learning and data science to this problem, we aim to create the most profitable and sustainable grocery store. We're based in San Francisco and backed by Khosla Ventures, NFX, Canaan Ventures, Switch Ventures, Paul Buchheit, and Y Combinator.
Our goal is to make the experience of buying groceries and planning meals feel as seamless as paying for running water. By keeping track of product preferences and sharing recipes within a unified, “multiplayer” grocery platform, we aim to play a role in reducing the 8 million tons of food that go to waste every year due to spoilage by building the most personalized, comfortable grocery experience for working families.
Joining as a full-time member of our engineering team, you'll dive right into our TypeScript/Kotlin/Python stack and have a say in making foundational design, infrastructure, and architecture decisions. You should have a strong background in building human-centered products from the ground up. You'll have the opportunity to marry operations with data through a beautifully-crafted user interface to create the most personalized predictive experience for our hundreds of homes in San Francisco.
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