AI Researcher, Voice Models

We build the most realistic voice models in the world. Our English model, Freya TTS Adam V1, ranks #1 among AI models on Design Arena's Audio Realism Bench, behind only real human recordings: https://www.designarena.ai/leaderboard/audiorealismbench

We own the full voice stack: our own speech-to-text and text-to-speech models, LLM serving, and a real-time agent runtime. Our models run in production, often on-prem inside banks and insurers, and answer real customer calls every day.

You will build voice models that are the best in the world for the languages and conditions we serve. That means 8 kHz telephone audio, noise, accents, people talking over each other, and answers that must come back in a few hundred milliseconds.

This is not a paper-only role. You take an idea to a training run, then to a model that serves live calls. You measure it on real traffic.

What you will do

• Train and fine-tune speech-to-text models that hold up on telephone audio, noise, accents and code switching.
• Build text-to-speech models that sound human: natural prosody, correct question intonation, stable voices across long calls.
• Work on audio codecs and speech-language models that listen and speak in one system.
• Collect, clean and filter large speech datasets, and design the training curriculum.
• Run ablations that isolate one change. Report objective metrics and listening tests side by side.
• Make models fast. Quantization, streaming inference, latency on a single GPU.

Who we are looking for

• You have trained STT, TTS, codec or speech-language models yourself, not only used them.
• You can read a new paper on Monday and have a working experiment by Wednesday.
• You design experiments that answer one question and drop ideas when the data says no.
• You care about how a model sounds on a real call, not only about a benchmark number.
• You own the work from research to deployment.

Bonus points

• Papers, open source models or popular repos in speech or language AI.
• Experience with distributed training on many GPUs.
• Experience with real-time audio, telephony or streaming systems.
• Experience with Turkish or other low-resource languages.

What we offer

• Real data and real users. Your model hears customer calls the week it ships.
• Dedicated GPUs for training and serving.
• A small team where you decide what to build next.
• Competitive salary and meaningful equity.

If you want to build the best voice models in the world and see them work on live calls, we want to hear from you.