ML Infrastructure Engineer

Company: Cartesia
Location: San Francisco
Posted on: May 8, 2025

Job Description:

About CartesiaOur mission is to build the next generation of AI: ubiquitous, interactive intelligence that runs wherever you are. Today, not even the best models can continuously process and reason over a year-long stream of audio, video and text-1B text tokens, 10B audio tokens and 1T video tokens-let alone do this on-device.We've pioneered the model architectures that make this possible using the core research from our founding team on State Space Models. We converted that into a formidable set of products on our API that are widely recognized as one of the fastest models in TTS today, and used by a large volume of enterprise customers. 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.Role responsibilitiesWe're hiring a Platform Engineer to advance our mission of building real-time multimodal intelligence. In this role, you'll:

• 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 trainingYou'll have significant autonomy to shape our products and directly impact how cutting-edge AI is applied across various devices and applications.What we're looking forGiven the scale and difficulty of problems we work on, we value strong engineering skills at Cartesia.

• 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.
• Technical leadership with the ability to execute and deliver zero-to-one results amidst ambiguity.
• [bonus] Background in or experience working with machine learning and generative models.Even if you don't meet every requirement above, we'd encourage you to apply.Our culture 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 everyday. We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don't sacrifice quality and design along the way. We support each other. We have an open and inclusive culture that's focused on giving everyone the resources they need to succeed.Our perks Lunch, dinner and snacks at the office. Fully covered medical, dental, and vision insurance for employees. 401(k).--- Relocation and immigration support. Your own personal Yoshi.
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Keywords: Cartesia, Alameda , ML Infrastructure Engineer, Engineering , San Francisco, California