Machine Learning TTS Engineer

About the role

The company is expanding its Text-to-Speech (TTS) to new languages and moving to next-generation LLM-based TTS, and is looking for a Machine Learning TTS Engineer to bring these technologies to production quality. You will join a small TTS team of 2-3 ML engineers, supported by a dedicated MLOps team and a data engineer. The position is fully remote across Europe.

Key responsibilities

• Extend TTS to new languages: data collection and curation, text normalization/G2P, and model adaptation.
• Take new TTS architectures from research to production, improving robustness, latency and quality, working closely with MLOps on deployment.
• Push existing models further through post-training, data curation, architectural improvements and new training approaches.
• Build efficient audio data pipelines, from speaker recording and preprocessing to model training.
• Design rigorous benchmarks and evaluations to show whether a new model iteration is genuinely better and why.

Required profile

• 3+ years of experience in speech technology with hands-on TTS experience.
• Hands-on experience with modern LLM-based TTS approaches such as VALL-E, CosyVoice and XTTS.
• Experience making TTS models production-ready, with stability, robustness and inference efficiency.
• BS or higher in Computer Science or a related field, or equivalent experience; English B2+.
• Nice to have: experience with low-resource languages, recording script design, MLOps/DataOps tools, C++, and publications in speech/ML venues.

Required skills

• Deep learning frameworks, especially PyTorch.
• Transformers, diffusion/flow matching, neural audio codecs and vocoders.
• Streaming TTS constraints (latency, incremental generation).
• Audio signal processing, phonetics and text normalization.
• TTS evaluation methods (MOS, SBS) and basic speech data processing.
• Strong Python and solid software engineering practices.

What we offer

• Award-winning AI products and a cutting-edge tech stack (speech technologies, NLP, generative AI, on-premises deployment).
• Fast career progression in a senior-heavy team, with real ownership of production work.
• Startup pace with enterprise stability, real clients and revenue.
• Fully remote across Europe.
• 21 vacation days, public holidays and 5 sick days.
• Private English lessons via Preply.