ML Inference Infrastructure — Deploy and Scale ML Models in Production
The consensus on Baseten: Choose Baseten if you want cutting-edge ML inference work with high ownership at a small, fast-moving startup — but expect startup intensity and shifting priorities.
Founded in 2019 by Tuhin Srivastava, Baseten builds ML inference infrastructure that lets teams deploy and scale machine learning models in production. With roughly 100 employees, the culture is engineering-driven and fast-paced. Small team size means everyone wears multiple hats, and individual contributors have direct impact on the product and company direction. Expect a flat hierarchy where shipping quickly is valued and ownership is the norm.
Maintains Truss, an open-source framework for packaging and serving ML models. Active contributor to the ML infrastructure ecosystem.
Shares deep dives on ML inference optimization, GPU utilization, and model serving architecture. Read the blog →
Flat, startup-style organization. Engineers own features end-to-end from design to production. Small, autonomous teams with minimal bureaucracy.
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