Cartesia

Cartesia provides real-time multimodal intelligence for all devices.

11-50 employees
Founded 2023
$64M series a
Artificial Intelligence (AI)
Private Company

Open Positions1

BangaloreFull-TimeAIPosted
  • 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
  • Shape our products and directly impact how cutting-edge AI is applied across various devices and applications
PythonGoNext.js

About Cartesia

Cartesia pioneers the next generation of AI: pervasive, interactive intelligence operating everywhere. They build AI that learns from and interacts with the world like humans. Their core product, Sonic, is a hyper-realistic generative voice API providing real-time text-to-speech with ultra-low latency, as low as 90ms. This technology powers voice agents, digital media, and assistants for thousands of users, from creators to large enterprises. They also offer On-Device for rapid, private inference and Ink, a real-time speech-to-text model. Cartesia is funded by leading investors like Index Ventures and Lightspeed Venture Partners, raising $86 million in just two rounds.

How We Work

Cartesia values in-person collaboration, with offices in San Francisco, London, and Bangalore. The team thrives on being together, fostering daily learning and connection. They ship fast, maintaining a high bar for quality and design in all novel and cutting-edge work. An open and inclusive culture ensures everyone has the resources needed to succeed. Visa sponsorship support is available, assessed on a case-by-case basis.

Engineering at Cartesia

You will design and build low-latency, scalable, and reliable model inference and serving stacks for cutting-edge SSM foundation models. This means translating advanced research into incredible products alongside the research team. You will craft highly parallel, high-quality data processing and evaluation infrastructure for foundation model training. The tech stack includes Go and Python on the backend, with Next.js for the frontend. Engineers solve complex problems daily, requiring strong engineering skills and comfort with new technologies.

Why Join Us

  • Shape the future of AI by pioneering real-time multimodal intelligence.
  • Work on cutting-edge SSM foundation models, translating research into product.
  • Experience significant autonomy to impact how AI is applied across devices.
  • Contribute to a team that ships fast and maintains a high bar for quality.
  • Benefit from mentorship within an open and inclusive culture.

Benefits & Perks

  • Competitive base salary and attractive equity package.
  • Monthly commuter allowance for office travel.
  • Flexible paid time off to recharge.
  • Daily provided lunch, dinner, and snacks.

Tech Stack

paymentmobilewidgetsanalytics

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