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Clera

ASR Engineer

San FranciscofulltimemidAdded today

About this role

Own and optimize an end-to-end cloud-based automatic speech recognition pipeline at an early-stage ambient intelligence startup. As a founding engineering hire, you'll ship measurable improvements in latency, accuracy, and reliability while collaborating across product, R&D, and hardware teams with minimal specification.

What you'll do

  • Design, build, and iterate on production cloud ASR pipeline from audio capture through post-processing
  • Drive ASR quality improvements across latency, small-word accuracy, and voice-print reliability using production metrics
  • Manage full pipeline lifecycle: data preparation, model training/fine-tuning, evaluation, and deployment
  • Translate product feedback into concrete pipeline changes and ship improvements to production
  • Collaborate cross-functionally with overseas R&D, hardware, and backend teams across time zones
  • Operate autonomously with minimal specifications to turn product asks into production-ready solutions

What they're looking for

  • Production ASR/transcription pipeline development (3+ years)
  • Cloud-based audio processing and streaming systems
  • Model training and fine-tuning for speech recognition
  • Latency optimization for real-time audio applications
  • Production ML deployment and evaluation
  • On-device ML frameworks (TensorFlow Lite, Core ML)
  • Data preparation and evaluation for speech systems
  • Python and systems-level programming
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Clera

Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.

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Likely interview questions

  • Walk us through a production ASR pipeline improvement you shipped—how did you identify the problem, measure it, and validate the fix?
  • Describe your experience optimizing latency in a streaming or real-time audio system. What tradeoffs did you make?
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