Eventual enables developers to build the AI systems of the future by making multi-modal data and models work together seamlessly. Today’s data platforms were built for spreadsheet-like analytics, not the petabytes of multimodal data that power AI. Eventual's mission is to make working with any kind of data—images, video, audio, text—as intuitive as working with tables, and powerful enough to scale to production workloads.
Requirements
- Strong programming skills in Python and/or Rust.
- Familiarity with cloud technologies (AWS, GCP, or Azure) is a plus.
Responsibilities
- Contribute to building features in Eventual’s distributed query engine.
- Work on developing Eventual’s cloud service.
- Write clean, maintainable code with guidance from senior engineers.
- Collaborate with the team to design and implement solutions for real-world data challenges.
- Assist with testing, debugging, and documenting core system components.
Other
- Within 1 year of graduating from University
- Interest in distributed systems, databases, or data infrastructure.
- Excitement to learn from a fast-paced startup environment and contribute to real-world systems.
- based in our San Francisco office (Mission District)
- We value in-person collaboration and ask our engineers to be in the office at least 4 days a week.
