Audio AI Engineer

Audio AI Engineer

About the Position

Join the Voice Team at MCINEXT and become part of a collaborative, high-impact group pushing the boundaries of audio and speech technology. We are looking for motivated and energetic engineers who are passionate about speech processing, AI research, and turning cutting-edge ideas into real-world products.

If you’re excited by the latest advancements in speech-to-text (STT), text-to-speech (TTS), speech translation, and foundation audio models, and you enjoy working closely within a strong technical team, this role is for you.


Responsibilities
- Drive innovation in STT, TTS, speech translation, and related speech/audio technologies.
- Design and develop end-to-end audio-based systems, from data collection and preprocessing to model training, deployment, and scaling.
- Work hands-on with modern foundation models for speech and audio, adapting and fine-tuning them for real-world applications.
- Implement, maintain, and improve MLOps pipelines for efficient training, deployment, monitoring, and iteration.
- Experiment with and evaluate state-of-the-art techniques and architectures, including transformer-based models.
- Actively track, analyze, and apply recent research and top-tier industry work in audio AI.
- Collaborate closely with a multidisciplinary team, sharing ideas, reviewing work, and building solutions together.
- Write scalable, efficient, and maintainable code suitable for production environments.


Requirements
Education:  Bachelor’s or Master’s degree in AI, Audio Processing, Electrical Engineering, or a related field.

Experience: 
- Hands-on experience in audio data processing, analysis, and development of speech applications.
- Familiarity with the full lifecycle of ML systems, including data pipelines, training, deployment, and monitoring.
- Experience working with or adapting foundation models in the audio/speech domain.

Technical Skills
Strong proficiency in Python.
Practical experience with PyTorch or TensorFlow.
Solid understanding of transformer models and modern speech processing techniques.
Familiarity with MLOps tools and workflows for building scalable, production-grade systems.

Mindset & Soft Skills
Strong team spirit and the ability to collaborate effectively in a fast-moving environment.
Curious, proactive, and eager to experiment, learn quickly, and iterate.
Passionate about staying up to date with top research, industry trends, and state-of-the-art models in audio AI.

Bonus
Strong background in structured and clean software design.
Experience building robust, scalable, and high-performance production systems.
Prior work on large-scale speech or audio AI products.


What We Offer
A dynamic and fast-paced environment where your ideas directly impact real products.
Opportunities to work with cutting-edge audio AI, including foundation speech models and modern MLOps pipelines.
A collaborative team culture that values teamwork, technical excellence, and continuous learning.
The chance to shape the future of voice technology at MCINEXT.

Ready to build the future of voice? Apply now and join us.