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Senior ASR Engineer / Speech AI & Machine Learning (m/w/d)

emagine PolskaCały światCały świat

Źródło:JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaKontrakt
Doświadczenie
DoświadczenieSenior
Dodano
Dodano14 października 2026
Wykryte przez nas
Wykryte przez nas15 października 2026
Zarobki
ZarobkiDo uzgodnienia

emagine is looking for a Senior ASR Engineer to join our R&D team and contribute to cutting-edge research in speech technology. This role focuses on the intersection of research and development, requiring a deep passion for innovation and hands-on expertise in Automatic Speech Recognition, machine learning, and language technologies.

Key responsibilities

  • Conduct experiments to assess ASR model quality and analyze the impact of parameter tuning on speech recognition accuracy.
  • Identify, optimize, and cluster training data to improve model performance.
  • Analyze product usage data to determine potential improvements in ASR processes, methods, and techniques.
  • Collaborate with cross-functional teams to understand business requirements and deliver high-quality results.
  • Stay updated on the latest advancements in the field to enhance ASR performance across multiple languages.

Requirements

  • Advanced degree (MSc or PhD) in computer science, computational linguistics, applied mathematics, or a related field.
  • A minimum of 5 years of relevant professional experience in speech technology or natural language processing.
  • Extensive knowledge and practical experience with end-to-end ASR and language modeling techniques.
  • Solid understanding of machine learning principles, algorithms, and statistical methods.
  • Proficient software engineering skills, including Python and shell scripting, with experience in Linux and Windows environments.

What we offer

  • Opportunity to work on advanced research and development projects in the field of Speech AI.
  • Fully remote work environment allowing for flexibility and focus.
  • Collaboration with a highly skilled team of experts in a professional and innovative setting.
  • Engagement in long-term projects with potential for extension.

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