Posted 12 hours ago
Engineering Manager, Data
Cartesia • San Francisco, California, US
About Cartesia
Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
About the Role
At Cartesia, the quality of our models is inseparable from the quality of our data. As we push the frontier of real-time multimodal AI, we're looking for a leader to own the systems, datasets, and research that make our training data exceptional.
You'll lead our Data team, responsible for three tightly connected areas:
- Data infrastructure — web-scale processing and storage that keeps petabytes of multimodal data flowing reliably to the teams that depend on it.
- State-of-the-art pre-training datasets — building the multimodal annotation models that understand who said what, when, and how, and curating the data mixes that shape model behavior.