Machine Learning TTS Engineer (AI)

Location: Remote across Europe; Spain

Company

hirify.global develops AI products centered on speech technologies, NLP, generative AI, voice-first agentic architecture, and privacy-first on-premises deployment.

What you will do

• Extend TTS systems to new languages through data collection and curation, text normalization, G2P, and model adaptation.
• Take new TTS architectures from research to production while improving robustness, latency, and quality with MLOps support.
• Improve existing models through post-training, data curation, architectural changes, and new training approaches.
• Build audio data pipelines covering speaker recording, preprocessing, and model training.
• Design benchmarks and evaluations to measure and explain improvements between model iterations.

Requirements

• 3+ years of speech technology experience, including hands-on TTS experience.
• Hands-on experience with modern LLM-based TTS approaches such as VALL-E, CosyVoice, or XTTS.
• Experience making TTS models production-ready, including stability, robustness, and model-level inference efficiency.
• Proficiency with deep learning frameworks, especially PyTorch, plus strong Python skills and solid software engineering practices.
• Understanding of Transformers, diffusion or flow matching, neural audio codecs, vocoders, and modern ML fundamentals.
• Understanding of streaming TTS constraints, including latency and chunked or incremental generation, and their impact on model architecture.
• Knowledge of audio signal processing and the linguistic aspects of TTS, including phonetics and text normalization.
• Basic experience with speech data processing, including segmentation, alignment, and quality filtering.
• Familiarity with TTS evaluation methods such as MOS and SBS.
• 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+ required.

Nice to have

• Experience with low-resource languages, including dataset creation and augmentation.
• Experience designing recording scripts and specifications for TTS voice datasets.
• MLOps or DataOps experience with MLflow, DVC, or similar experiment tracking tools.
• C++ skills.
• Publications in speech or ML venues.

Culture & Benefits

• Fully remote work across Europe.
• Work on award-winning AI products, including devices, voice assistants, and production voice products.
• Cutting-edge work across speech technologies, NLP, generative AI, LLMs, diffusion models, and privacy-first on-premises deployment.
• High engineering standards, direct ownership, and visible production impact.
• Startup pace with enterprise stability, real clients, and real revenue.
• 21 vacation days, public holidays, 5 sick days, and private English lessons through Preply.