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Applied Researcher, Audio

Cartesia· Research
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*HQ - San Francisco, CA$200k - $350kFull-timePosted 11mo ago

About the role

Lead research at the frontier of realtime conversation and human AI interaction, contributing across stack to novel architectures, data, and evals for realtime audio, and translating them into state-of-the-art models used in voice agents worldwide.

Responsibilities

  • Architect and develop new architectures for realtime audio understanding, generation, and speech-to-speech models that reason jointly over multiple modalities in realtime
  • Contribute to frontier multimodal and multilingual datasets for pre-training and post-training, including curating data mixes and developing new methods for synthetic data generation and annotation
  • Set new standards for how we evaluate and benchmark our audio models

Qualifications

  • Strong applied mindset and ability to balance scientific novelty with product impact.
  • Excited and able to work across the stack from infra, to data, to evals, to architecture to solve customer problems and build state-of-the-art models.
  • Deep expertise in deep generative modeling. Previous experience in audio understanding, audio generation, speech-to-speech, or language modeling preferred but not required.
  • Experience with large-scale training, GPU/TPU acceleration, and model optimization.

Skills

Required:Realtime audio understandingMultimodal data handling
Nice to have:Speech-to-speech modeling

Benefits

  • Competitive base salary alongside attractive equity package.
  • Fully covered medical insurance along with dental and vision for you and your family.
  • 9 weeks paternity & 12 weeks maternity leave
  • 401(k)
  • Commuter Allowance
  • Flexible PTO
  • Meals & Snacks provided daily
  • Your own personal Yoshi
Last updated Jul 22, 2026. Interested? Apply on the company site.

About Cartesia

Real-time TTS API with AI laughter and emotion

Cartesia offers Sonic-3, a streaming text-to-speech API capable of generating natural, expressive voices with laughter in 40+ languages—built for AI agents and interactive applications.

AI voicesinteractive appsliquid-ai-recruiting-targetmultilingualstreaming APItext-to-speechvoice-ai-stack

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