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Member of Technical Staff, Multimodal Speech

Hark· AI Foundation Models
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San Jose$180k - $450kfull-timePosted 7mo ago

About the role

Role driving development of advanced speech and audio capabilities within multimodal foundation models, spanning data, modeling, training, evaluation, and real-time serving to enable seamless, real-time multimodal intelligence.

Responsibilities

  • Drive research and development to advance speech and audio capabilities in multimodal models, including speech recognition, synthesis, and understanding.
  • Develop and improve large-scale speech and audio data pipelines, including data collection, filtering, alignment, and synthetic data generation.
  • Design and implement state-of-the-art models for speech and audio, including end-to-end multimodal architectures and real-time systems.
  • Build evaluation frameworks and internal benchmarks to measure speech quality, latency, robustness, and overall user experience.
  • Optimize models and systems for real-time performance, scalability, and production deployment.
  • Collaborate closely with product and engineering teams to translate research innovations into impactful, user-facing AI experiences.

Qualifications

  • Proven track record of advancing speech or audio models through innovations in data, modeling, or training.
  • Strong experience in speech/audio domains such as ASR, TTS, speech-to-speech, or audio foundation models.
  • Experience with large-scale machine learning systems and distributed training.
  • Strong background in data-driven experimentation, systematic evaluation, and model iteration.
  • Strong ownership mindset and ability to drive end-to-end impact from research to production.

Skills

Required:Speech and audio modelingLarge-scale ML systems & distributed trainingData-driven experimentation & evaluation
Last updated Jul 16, 2026. Interested? Apply on the company site.
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At Hark, we are building the most advanced personal intelligence in the world.

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