Machine Learning Engineer (TTS)

We are now expanding our team and are looking for skilled, goal-oriented MLE to join our teams.

Responsibilities

• Design and optimize TTS models to ensure our voice assistant sounds as natural and accurate as possible.

• Collaborate closely with product managers and engineers to integrate TTS tech, making it seamless and intuitive for users.

• Partner with data teams to build efficient audio data pipelines, from speaker recording/preprocessing to model training.

• Regularly update and refine TTS models to adapt to various accents, dialects, and speech styles, enhancing user satisfaction and responsiveness.

• Keep up-to-date with the latest TTS advancements, bringing in innovative techniques and tools to keep us at the forefront of voice-assisted banking.

• Rigorously test and validate models to meet strict standards.

Requirements

• Proficiency in Python and deep learning frameworks (especially, PyTorch).

• Strong understanding of speech synthesis processing techniques.

• Experience with Fast Attention-Based Models: (FastPitch, FastSpeech 2) and modern variative approaches: (e.g., VITS, Glow-TTS).

• Strong understanding of techniques to control prosody, rhythm, and emotional tone for expressive speech synthesis.

• Knowledge of normalization techniques, FSTs, NN for normalization.

• Familiarity with TTS evaluation techniques, including MOS and A/B testing.

• Familiarity with vocoder models (e.g. Vocos, HiFi-GAN, mimi).

• Knowledge of signal processing, statistical modeling, and language structure.

What we offer

• Rapid career progression, facilitated by our team of seasoned senior professionals who hail from prestigious, industry-leading companies.

• Remote work opportunities from Europe.

• Company has prominent clients with an opportunity for you to work on different projects and/or to be involved in developing our proprietary own products.

• Competitive compensation in Euro/USD, surpassing market standards.