Senior Machine Learning Engineer (Speech AI) – Speech Recognition & Synthesis

volina. • United Kingdom

Remote

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AI Summary

Build and optimize in-house speech AI infrastructure, including advanced speech recognition and synthesis models, with a focus on Turkish language and real-time cloud deployment. Research, fine-tune, and deploy cutting-edge models while shaping cloud-native speech services. Collaborate with engineering teams to improve latency, scalability, and inference efficiency for live patient interactions.

Key Highlights

Build and improve proprietary speech recognition (STT) and synthesis (TTS) models with a focus on Turkish language and real-world audio quality

Architect GPU-powered cloud-native speech services with emphasis on latency, reliability, and cost-efficiency

Fully remote role with flexibility for part-time or full-time work, open to university students and self-taught candidates

Key Responsibilities

Research, benchmark, fine-tune, and improve speech recognition models for Turkish, handling diverse accents and real-world audio quality

Explore and fine-tune neural TTS models for natural, expressive Turkish voices with focus on pronunciation, prosody, and emotional expressiveness

Design and build cloud-native speech services with GPU-powered streaming inference pipelines, optimizing for latency, reliability, and scalability

Develop and evaluate conversational speech datasets to enhance model performance in real-world scenarios

Track and evaluate new Speech AI research, reproduce promising open-source models, and design measurable experiments for production deployment

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Technical Skills Required

Python Machine Learning Deep Learning

Benefits & Perks

Equity in the company

Fully remote work

Dedicated GPU compute and cloud budget for experiments

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Nice to Have

Experience with Whisper, wav2vec 2.0, or NVIDIA NeMo

Audio preprocessing and speech dataset quality evaluation

Linux, Docker, cloud platforms (AWS/GCP/Azure), GPU computing, or streaming audio systems

Personal ML projects, open-source contributions, or research experience

Job Description

Our AI voice agents have already handled 40,000+ real patient calls for health tourism clinics. Now we’re bringing the speech stack in-house: our own recognition, our own voices, on our own cloud infrastructure. We need someone who wants to build that, not just read about it.

Fully remote. Part-time or full-time. University students welcome.

About volina.

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