Baseten builds AI infrastructure that lets teams deploy and scale machine learning models in production. Its platform handles the operational complexity of running AI products - covering inference infrastructure, performance optimization down to the kernel level, and developer tooling - so that engineering teams can focus on building rather than managing pipelines. The company measures its own success by the real-world impact of the AI products running on its platform.
The engineering and design team works directly alongside customers, spending time embedded with them to understand operational challenges firsthand. That proximity informs how the product is built: insights from production environments feed back into the platform on a rapid cycle, with the team shipping daily. Small teams carry genuine ownership over their work, and the culture prioritizes getting things into production over process.
Technical work at Baseten spans a broad range of infrastructure concerns, including:
- Model inference optimization, including kernel-level performance tuning
- Platform reliability and deployment tooling for AI workloads
- Developer tools designed for engineers building and shipping AI-powered software
- Customer-embedded product engineering to translate operational realities into platform improvements
The team is internationally diverse and operates with a hands-on approach to problem solving that has characterized the company since its founding. Baseten sits at the intersection of AI infrastructure and developer experience, working on systems that matter directly to the engineers and organizations relying on them in production.