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 (España)
🏢 AI Data Innovations
📍 España