Peek behind the curtain as we build the financial engine of tomorrow.
Our recent launch of Digits Search represented the culmination of over 30 human-years of software engineering work, from a team with hundreds of years of combined experience. All to make a financial search box… work.
Of course, there’s a lot going on under the covers.
From stateless request authentication to streaming data processing pipelines to search index generation and efficient view serving, the Digits engineering team continues to push the bounds on how modern, secure, highly-scalable, and highly-available SaaS products are built, tested, and (continuously) deployed.
Today, we’re excited to launch Building Digits, an engineering blog dedicated to sharing the details behind what we’ve built, how it works, and the tips and techniques we’ve learned along the way.
Deep Learning, live, in production
And to kick things off, what better topic than machine learning? While seemingly every startup pitch now mentions AI and ML, the harsh truth today remains that very few companies run deep-learning models live, in production, and that efficiently training, deploying, and tuning these models is still quite challenging.
At Digits, we’re firm believers in the benefits of continuous deployment across our entire stack, and we’ve invested heavily in ML infrastructure to address those challenges and support these workflows.
For a peek under the covers of how we process and classify financial transactions, and an introduction to how we train and deploy transformer models to production, check out Training and Deploying State of the Art Transformer Models at Digits.
A novel playground for innovators
Digits stands at the unique intersection of big data, continuous development, and consumer-grade design—focused by our team’s shared obsession to modernize business finance.
From designing Ferraris, to building the origins of Twitter Mobile, to authoring Building Machine Learning Pipelines, our team brings a diverse array of backgrounds and unique skillsets to tackle the most impactful problems in this space.
If you have a passion for hard problems, deep technology, and human-centered design, we would love your help shaping the future of business finance.
Come build with us 🙂 We’re hiring!