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Machine Learning TTS Engineer in Portugal

Remote in Portugal·Full-time·Added 2 days ago (last checked 6 Nov)

Acclaim

2 open roles

Our summary

Work mode
Remote (Portugal)
Contract
Full-time
Experience
3+ years

Skills

Nice to have

Acclaim is hiring for this role in several places. This vacancy is in Portugal.

Requirements

What we're looking for

  • 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.

Pay & benefits

What you'll get

  • 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

The role

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.

What you'll do

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.

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