Description
We’re expanding our TTS to new languages and moving to next-generation LLM-based TTS, and we’re looking for a Machine Learning TTS Engineer to help bring these technologies to production quality! You’ll join a small TTS team of 2–3 ML engineers, supported by a dedicated MLOps team and a data engineer.
Requirements
3+ years of experience in speech technology with hands-on TTS experience.
Hands-on experience with modern LLM-based TTS approaches (e.g., VALL-E, CosyVoice, XTTS).
Experience making TTS models production-ready: stability, robustness, and inference efficiency at the model level.
Proficiency in deep learning frameworks, especially PyTorch.
Understanding of modern ML fundamentals: Transformers, diffusion/flow matching, neural audio codecs, and vocoders.
Understanding of streaming TTS constraints (latency, chunked/incremental generation) and how they shape model architecture choices.
Knowledge of audio signal processing and the linguistic side of TTS (phonetics, text normalization).
Basic experience with speech data processing (segmentation, alignment, quality filtering).
Familiarity with TTS evaluation methods (MOS, SBS).
Strong Python skills and solid software engineering practices.
Proven ability to independently explore new ideas and improve existing ML systems.
BS or higher in Computer Science or a related field, or equivalent experience.
English B2+.
Nice to have:
Experience with low-resource languages, including dataset creation and augmentation.
Experience designing recording scripts and specs for TTS voice datasets.
MLOps/DataOps experience, e.g., MLflow, DVC, or similar experiment tracking tools.
C++ skills.
Publications in speech/ML venues.
Responsibilities
Extend our TTS to new languages: data collection and curation, text normalization/G2P, and model adaptation.
Take new TTS architectures from research to production: improve 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 that show whether a new model iteration is genuinely better, and why.
What we offer
The team has built award-winning AI products for tech corporations — devices, voice assistants, products that are actually in the world
Cutting-edge tech stack: Speech Technologies, NLP, Generative AI (LLMs, diffusion models), voice-first agentic architecture with privacy-first and on-premises deployment
High engineering bar and real ownership — the team cares about what actually works in production, not what looks good in a demo, and you'll see the impact of your work directly
Fast career progression — a senior-heavy team and a high volume of real problems means you grow faster than you would anywhere else
Startup pace with enterprise stability — real clients, real revenue, no bureaucracy
Fully remote across Europe
21 vacation days + public holidays + 5 sick days
Private English lessons via Preply
Summary
Bring TTS models to production quality for new languages, moving from research to production with improved robustness, latency and quality. Requires 3+ years of speech technology experience with hands-on TTS and LLM-based TTS work, PyTorch proficiency, and strong Python skills.
Responsibilities
Extend TTS to new languages; take TTS architectures from research to production; push existing models through post-training and data curation; build audio data pipelines; design rigorous benchmarks and evaluations
Qualifications
3+ years in speech technology with hands-on TTS experience; hands-on LLM-based TTS experience; PyTorch proficiency; ML fundamentals; strong Python and software engineering practices; English B2+
Education requirements
BS or higher in Computer Science or a related field, or equivalent experience
Experience requirements
3+ years of experience in speech technology with hands-on TTS experience
Benefits
21 vacation days; public holidays; 5 sick days; private English lessons via Preply