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Senior Speech & NLP ML Engineer

Svitla SystemsEuropaEuropa

Źródło:JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano13 października 2026
Wykryte przez nas
Wykryte przez nas14 października 2026
Zarobki
ZarobkiDo uzgodnienia

Svitla Systems is seeking a Senior Speech & NLP ML Engineer to join a project for an American mobile computing company. You will play a key role in developing, optimizing, and improving end-to-end speech processing pipelines, ensuring high-quality transcription and model performance.

Key responsibilities

  • Develop, train, evaluate, and deploy machine learning models for speech and audio-related tasks.
  • Build and optimize end-to-end speech-to-text pipelines, including audio preprocessing, ASR, and transcript post-processing.
  • Prepare, clean, and manage audio and text datasets for model development and evaluation.
  • Analyze ASR outputs and identify ways to improve transcription quality through data improvements and model tuning.
  • Apply NLP techniques for transcript cleanup, text normalization, and domain-specific correction.

Requirements

  • Strong Python programming skills and solid knowledge of machine learning and AI.
  • Hands-on experience with automatic speech recognition (ASR) or speech-to-text systems.
  • Experience building or improving audio preprocessing and transcription pipelines.
  • Familiarity with deep learning frameworks such as PyTorch and audio/ML tooling like Hugging Face, torchaudio, or librosa.
  • Ability to independently own tasks, analyze performance, and proactively propose technical improvements.

What we offer

  • Engagement in US and EU projects based on advanced technologies.
  • Regular performance appraisals to support your professional growth.
  • Personalized learning programs tailored to your interests and skill development.
  • Generous time off, including vacation, national holidays, and sick leaves.
  • Access to free tech webinars and a supportive, collaborative remote team environment.

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