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Member of Technical Staff

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Member of Technical Staff in USA new

  • Salient
  • Full time
  • Email
  • Remote

Responsibilities

  • Design, train, and ship speech-to-speech and real-time voice models for latency, turn-taking, naturalness, robustness, and interruption handling.
  • Build and improve production speech infrastructure including neural codecs, streaming inference, ASR/TTS or speech-to-speech pathways, turn detection, and speech enhancement.
  • Develop evaluations, harnesses, and monitoring based on real borrower conversations and production quality.
  • Diagnose telephony noise, barge-in, accent, channel, and overlapping-speech failures and convert them into model, data, or systems improvements.
  • Collaborate across models, data, infrastructure, and product to improve end-to-end voice-agent quality.
  • Own major technical areas from problem definition through production deployment.

Requirements

  • 5+ years of experience in speech, audio, or related machine learning, or equivalent demonstrated depth through shipped systems and public work.
  • Proven experience with speech-to-speech, full-duplex, or other real-time conversational speech systems beyond offline ASR or TTS alone.
  • Publicly inspectable work such as papers, GitHub repositories, Hugging Face models or datasets, or similar artifacts.
  • Strong engineering fundamentals and experience building reliable streaming or low-latency production systems.
  • Ability to diagnose real-world model failures and turn them into practical improvements.
  • Experience with neural audio codecs, vocoders, or discrete speech representations is preferred.
  • Experience with turn detection, barge-in, speech enhancement, or multilingual speech in production telephony or contact-center settings is preferred.
  • Experience adapting language models for voice agents and building evaluations that predict production quality is preferred.
  • Familiarity with regulated or high-stakes conversations is preferred.

Benefits

  • Fully remote role; the posting also describes collaboration with the Applied AI team at the San Francisco headquarters and contains a conflicting statement that the team typically spends four days per week in person.
  • Equity is included in the compensation package, with benefits confirmed based on the hiring country.
  • Medical, dental, and vision coverage.
  • Generous 401(k).
  • Catered lunches.
  • Full-time role with a stated typical work schedule of approximately 60 hours per week beginning at 8:00 AM.

Salary: $300k - $450k/yr

Salient

Salient builds compliance-first AI agents that automate loan-servicing workflows for US consumer lenders, including collections, customer support, QA/compliance reviews, disputes, and total-loss mitigation. The platform integrates with existing banking and servicing systems and handles borrower c...

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