Cartesia aims to build the next generation of AI that is ubiquitous, interactive, and runs on-device, capable of continuously processing and reasoning over vast streams of audio, video, and text data. The company is pioneering new model architectures, specifically State Space Models (SSMs), to achieve this.
Requirements
- Strong engineering skills, comfortable navigating complex codebases and monorepos.
- An eye for craft and writing clean and maintainable code.
- You're comfortable diving into new technologies and can quickly adapt your skills to our tech stack (Go and Python on the backend, Next.js for the frontend).
- Experience building large-scale distributed systems with high demands on performance, reliability, and observability.
- Background in or experience working with machine learning and generative models.
Responsibilities
- Design and build low latency, scalable, and reliable model inference and serving stack for our cutting edge SSM foundation models
- Work closely with our research team and product engineers to translate cutting edge research into incredible products
- Build highly parallel, high quality data processing and evaluation infrastructure for foundation model training
Other
- We're an in-person team based out of San Francisco.
- We love being in the office, hanging out together, and learning from each other every day.
- Execution speed is paramount.
- We have a high bar, and we don’t sacrifice quality or design along the way.
- We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed.
