At Eventual (YC W22), we are building Daft, the open-source framework for processing complex data.
Data processing systems today are highly optimized for simple tabular data. However, much of the useful data in the world is in a more complex form, such as media (e.g. images, video, audio), scientific formats (e.g. genomes), and ML artifacts (e.g. embeddings). There are many challenges today that make processing complex data much more difficult than working with simple tabular data. Our goal is to make working with complex data as easy as working with simple data, and become the de-facto solution for building applications on top of complex data.
You would be joining a small, fast-moving team of engineers with deep expertise across related domains: big data, distributed systems, machine learning, self-driving, genomics, and high performance computing.
As a software engineering intern, your primary responsibilities would be contributing to the development of the open-source Daft distributed dataframe. Development moves quickly here, but here are some projects you might expect to work on:
We are a young startup, so do be prepared to wear many hats - tinkering with infrastructure, talking to users, and participating in design processes with the team!
You will want to be comfortable working on a novel distributed data processing system. Some things that will be important are:
Big nice to haves are:
Our office setup is hybrid remote, with three in-person days a week. We are in our San Francisco office Wednesday to Friday.
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