
Senior ASR Engineer / Speech AI & Machine Learning (m/w/d)
emagine
Visa & sponsorship
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Job description
We, the emagine, are seeking a Senior ASR Engineer (m/w/d) to join our ASR R&D team and engage in cutting-edge research. This role integrates both research and development, necessitating a strong passion for innovation and hands-on expertise in Automatic Speech Recognition (ASR), machine learning, and language technologies.
Project Details:
Duration: 6 months with potential for extension
Fully remote, start date: as soon as possible
Principal Duties and Responsibilities:
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Conduct experiments to assess the quality of ASR models and analyze the impact of various parameter tuning on speech recognition accuracy.
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Identify, optimize, and cluster training data.
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Analyze product usage data to determine potential improvements in ASR processes, methods, and techniques.
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Collaborate with cross-functional teams to understand business requirements and deliver high-quality results.
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Stay updated on the latest advancements in the field and strive to enhance ASR performance across multiple languages.
Your Profile:
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Advanced degree (MSc or PhD) in computer science, computational linguistics, applied mathematics, or a related field.
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A minimum of 5 years of relevant work experience.
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Background in speech technology, computational linguistics, machine translation, and/or natural language processing.
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Extensive knowledge and practical experience with end-to-end Automatic Speech Recognition (ASR) and language modeling techniques.
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Solid understanding of machine learning principles, algorithms, and statistical methods.
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Proficient software engineering skills, with knowledge of scripting languages (e.g., shell scripting, Python) and experience working with both Linux and Windows platforms.
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Excellent critical and creative problem-solving abilities.
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Strong written and verbal communication skills in English.
Preferred Skills:
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Experience with generative AI, Large Language Models (LLMs), prompt engineering, and fine-tuning.
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Expertise in machine learning, statistical modeling, information retrieval, deep learning, or data mining.
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Fluent in at least one other non-English language.
We look forward to receiving your applications.