Senior ASR Scientist – Multilingual ML Innovation

AI Data Innovations; España; On-site; EUR 70,000 - 110,000; Full time

Job summary

AI Data Innovations is seeking a senior researcher to advance automatic speech recognition (ASR) systems. You will design experiments to evaluate model quality, tune parameters, and study training data impacts. You will collaborate with engineering and product teams to translate research into enhancements.

The role requires a strong background in speech technology, NLP and ML, and at least 5 years of experience. Fluency in English and willingness to work across languages are essential.

Qualifications

• Advanced degree in computer science, computational linguistics, applied mathematics, or related field.
• Minimum of 5+ years work experience in relevant area.
• Strong background in speech technology, NLP, and ML.

Responsibilities

• Conduct experiments to assess ASR model quality and parameter tuning effects.
• Identify, optimise and cluster training data.
• Analyse product usage data to identify improvements for ASR processes.
• Discuss ideas, progress and results within the research team.
• Collaborate with cross-functional teams to understand business requirements.
• Stay up to date with advancements in the field of ASR.
• Improve ASR performance across multiple languages.

Skills

Speech technology

Computational linguistics

NLP

Machine learning

Statistical methods

Problem solving

English communication

Education

MSc or PhD in CS/CL

Tools

Python

Shell scripting

Linux

Windows

Job description

AI Data Innovations is seeking a senior researcher to advance automatic speech recognition (ASR) systems. You will design experiments to evaluate model quality, tune parameters, and study training data impacts. You will collaborate with engineering and product teams to translate research into enhancements.

The role requires a strong background in speech technology, NLP and ML, and at least 5 years of experience. Fluency in English and willingness to work across languages are essential.