# Researcher, Models at Cartesia

- Company: Cartesia
- What the company does: Integrate real-time text-to-speech with Sonic-3.6, Cartesia. Backed by General Catalyst, Index and Kleiner Perkins.
- Company website: https://www.cartesia.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: *HQ - San Francisco, CA
- Work setup: On-site
- Pay: $180K to $350K base salary per year (USD)
- Posted: 2024-12-12
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/cartesia/d74e142f-6f20-4e32-8e41-308369ed5106
- Page: https://www.1752.vc/careers/jobs/cartesia-researcher-models/

## About the role

Conduct groundbreaking research in neural network architecture design to advance the state-of-the-art in alternative architectures (e.g., state space models, efficient transformers, hybrid architectures). Design novel architectures that improve model quality, inference efficiency, and adaptability across diverse deployment environments, from cloud to on-device.

## What they're looking for

- Deep expertise in architecture design, with experience in researching or deploying advanced architectures (e.g., state space models, transformers, RNN variants, CNN variants)
- Strong understanding of how architectures interact with system constraints, including deployment in cloud environments or on-device
- Proficiency in designing architectures that balance quality, efficiency, and adaptability across different use cases and modalities (e.g., vision, audio, text)
- Familiarity with generative modeling paradigms like autoregressive and diffusion models, and designing capabilities such as statefulness and conditioning in deep learning models
- A proven research track record in top-tier ML/AI venues (e.g., NeurIPS, ICML, ICLR, CVPR) or demonstrable contributions to state-of-the-art architectures
- Exceptional analytical and problem-solving skills, with a focus on experimentation and iterative refinement

Tags: Research