ML Engineer, Speech Data

Location

Europe + 1 moreAll locations: Europe | EMEA

Posted

45 days ago

Salary

0

Seniority

Mid Level

Job Description

ML Engineer, Speech Data

Techire Ai

Role Description Ready to own the data pipeline powering the voice of the next generation of AI characters? You'll be joining a well-funded startup building AI character technology, where speech is a core part of the product experience. Think super natural conversations, handling interruptions, personality shifts and more! You'll own the datasets that power their speech systems — from raw, messy audio through to clean, versioned training corpora that directly drive TTS and ASR model performance. - Own the full data lifecycle — defining specs, auditing and curating large-scale audio and text corpora - Build automated quality metrics and dashboards across SNR, VAD, WER, speaker verification and safety, validated against listening tests - Train and deploy lightweight classifiers for noise detection, diarisation, language ID, and content moderation Qualifications - Deep experience working with speech and audio data at scale — 1M+ hours - Strong ML engineering skills in Python and PyTorch, including training and fine-tuning models like Whisper or Wav2Vec - Practical knowledge of audio processing — torchaudio, librosa, spectrograms, DSP basics - A solid understanding of audio quality metrics — MOS, WER, PESQ/STOI, SNR, speaker verification Requirements - Experience with Spark/Beam, Airflow, SQL or similar data engineering tools - Open-source contributions or publications in speech or audio ML - Background in denoising and enhancement, and how it affects downstream model quality Benefits - Remote, with a preference for European or overlapping timezones - Competitive compensation and equity

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