Save up to 70% on Snowflake with Gen AI
We believe that AI will accelerate compute by 1000x.
Large Language Models are a fundamental breakthrough in AI. For the first time, models can deeply understand code in the same way that human programmers do. We believe that neural optimizers will leapfrog traditional optimization tools and usher in a paradigm shift in computation.
We are a team of elite AI and performance engineers from Google, Apple, and MIT. Starting with data warehousing, we are building the world's first neural optimizer.
Database Engineer
Espresso AI's mission is to use ML to automate performance engineering, starting with data warehouses like Snowflake and Databricks. Today, we're saving our customers up to 70% on their Snowflake bills.
Our team has built cutting edge NLU for Google Search & Siri, written exploits for web browsers, and saved Google staggering sums of money through file-system performance engineering.
We're very early, so you will have a substantial equity stake and the opportunity to significantly impact the trajectory of this company.
More and more businesses are adopting data warehouses to manage invaluable data analytics workloads. Unfortunately, the costs of these workloads often grows exponentially over time, with no easy way for users to reduce cost - until now.
Our next-generation, AI-based approach saves our users huge amounts of money.
We're looking for exceptionally strong engineers who are driven to deliver customer impact. That can mean improving on the state-of-the-art in deep learning, but much more often it means figuring out why two libraries don't fit together, paying off technical debt, or reaching out to individual users to make their experience amazing.
Engineers in similar roles have built:
Prior experience with:
If your colleagues would describe you as "the best engineer I've ever worked with", we'd love talk to you! You'll fit right in.