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Freya is seeking a hands-on researcher/engineer to build speech models that work on real phone calls, covering training ASR and TTS, data preparation, and streaming responses with sub-second latency. Candidates will gain experience across the voice stack, from recognition to synthesis and low-latency serving, with emphasis on Turkish or low-resource languages.
The role offers practical experience in bringing models from idea to live deployment on real-world customer calls in a fast-paced AI
This is a hands-on research and engineering role centred on speech models that must work on real phone calls. The work covers training speech recognition and speech synthesis models, preparing large audio datasets, and getting models fast enough to reply in a few hundred milliseconds. A strong candidate has trained these kinds of models personally, runs clean experiments, and follows a model all the way from idea to live deployment.
Here AI is the product itself, so the job is building the models that other businesses rely on to handle customer calls. Tools can speed up reading papers and writing experiment code, but the judgment stays human: deciding what to test, listening critically to whether a voice sounds natural, and dropping ideas when results say no. Knowing how a model behaves on a messy real call is something no benchmark replaces.
Someone in this role would gain deep experience across the whole voice stack, from speech recognition and synthesis to audio codecs, speech-language models and low-latency serving. Because the models run for banks and insurers on real traffic, there is a chance to learn how to measure quality outside the lab. To build this experience beforehand, train or fine-tune an open speech model on noisy telephone-quality audio and publish the results, ideally including Turkish.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
Voice AI agents that answer and make business phone calls for banks, insurers and other call-centre-heavy companies, with Turkish among its supported languages.