Principal duties and responsibilities

Conduct experiments to assess the quality of ASR models and study the effect of different parameter tuning on speech recognition accuracy. Identify, optimise and cluster training data. Analyse product usage data to identify areas of possible improvement or enhancement of ASR processes, methods and techniques. Discuss and present ideas, progress, and results within the research team. Collaborate with cross-functional teams to understand business requirements and deliver high-quality results. Conduct research and stay up to date with the latest advancements in the field. Improve ASR performance in multiple languages. Knowledge, skills, and qualifications

Education:

Advanced degree (MSc or PhD) in computer science, computational linguistics, applied mathematics, or a related field. Minimum years of work experience:

5+ years Required skills: Background in speech technology, computational linguistics, machine translation and/or natural language processing.



Extensive knowledge and hands-on experience with end-to-end ASR and language modelling, including training methods, finetuning, pruning, efficient representation, interpolation, etc. Solid understanding of machine learning principles, algorithms, and statistical methods. Good software engineering skills, knowledge of scripting languages (e.g. shell scripting, Python) and experience working under both Linux and Windows. Excellent problem-solving skills and the ability to think critically and creatively. Strong written and oral communication skills in English. Preferred skills:

Experience with generative AI/LLMs, prompt engineering and finetuning. Expertise in one or more of the following areas: machine learning, statistical modelling, information retrieval, deep learning, data mining. Fluent in a second, non-English language.

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📌 Senior ASR Engineer - Remote Position (Madrid)
🏢 AI Data Innovations
📍 Madrid