Full Stack Engineer
- East Bay, CA, United States
- New York, NY, United States
- Seattle, WA, United States
- San Francisco, CA, United States
- $120k - $200k
- 0.05% - 0.40%
Streamlit is the fastest way to build and share data applications. We’re a collaborative team of technologists who share a common goal to give the data community superpowers that let them project their creativity, intelligence, insights, and influence out into the world. We're well funded with great investors, and we're building the future of data and looking for engineers to join our family-friendly and remote-first startup. The team is comprised of folks from a variety of backgrounds with experience at Google, Heroku, Facebook, Carnegie Mellon, and Stanford. And some of us didn't go to school or work anywhere fancy. We don’t care where you went to school or where you worked before, just that you're excited to help make an amazing experience for building data apps.
The Core Engineering Team is building an open-source framework that allows Data Scientists and Machine Learning Engineers to build data apps from pure Python scripts within minutes. You'll be helping us add features like Programmable State, Custom Components and Theming, and more to polish the experience of using Streamlit. We care about performance, design and workflow and we hope you do too! Under the hood, Streamlit is a Python library with an embedded Tornado web server and a snappy React frontend.
We're a values-driven company and you can find them here on our public Notion page!
What We Offer
Stock Options, Medical, Dental, Vision, 401K, Flexible Spending Account (FSA), Unlimited PTO, Benepass, Commuter Benefits, Work from Home Stipend, Parental Leave.
We build developer tools for Machine Learning and Data Science engineers. Our first product is an open source app framework that makes it ridiculously easy to build apps by just adding a couple of lines of code to existing Python scripts.
We’re a diverse, collaborative team of elite technologists from Google, X, Twitter, Carnegie Mellon Computer Science, and Stanford Business School. We have funding from top VCs like GGV Capital and Gradient Ventures (Google’s AI Investment Arm), and we’re growing quickly. If you’re passionate about ML/data science, we want to talk to you!
We love what we do, but we also value life outside of work: half of us have young children, some of us block our calendars to go running. That means we don't do nights and weekends, and no crunch time. Instead, we believe in coming up with plans that are feasible within the available time, and execute them to a T.
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