ML Engineer, Speech Synthesis & TTS – Open Source

Barcelona Supercomputing Center; Barcelona; On-site; EUR 45,000 - 65,000; Full time

Benefits offered by this job

Restaurant tickets

Private health insurance

Relocation support

Flexible working hours

Extensive training plan

Job summary

The Speech Team at the Barcelona Supercomputing Center is seeking a Machine Learning Engineer with hands-on experience in speech technologies, deep learning, and model development for speech synthesis. The role focuses on TTS research, implementation, and collaboration with open-source initiatives.

You will work on state-of-the-art language technologies, contribute to scientific publications, and mentor junior engineers.

Qualifications

• Master's degree in a related field with specialization in speech processing and recognition.
• 4+ years of experience in machine learning.
• 2+ years of experience in deep learning frameworks.
• Proficiency in Linux, Python and DL libraries; git; HF.
• Ability to access and evaluate scientific literature.
• Good communication skills in English (oral and written).
• Catalan and Spanish language skills are a plus.

Responsibilities

• Participate in current projects related to TTS technologies, including research, documentation and deliverables.
• Prepare and present scientific articles.
• Supervise junior research engineers.
• Participate in internal group meetings and other scientific discussions.

Skills

Machine Learning

Deep Learning

Education

Master's degree in Electronic engineering, Computer Science, Mathematics or related, with specialization in speech processing and recognition

Tools

Linux

Python

Deep learning libraries

git

HF

Job description

The Speech Team at the Barcelona Supercomputing Center is seeking a Machine Learning Engineer with hands-on experience in speech technologies, deep learning, and model development for speech synthesis. The role focuses on TTS research, implementation, and collaboration with open-source initiatives.

You will work on state-of-the-art language technologies, contribute to scientific publications, and mentor junior engineers.