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Clera

ASR Engineer

San Francisco$150k–$200kfulltimemidAdded today

About this role

Join an early-stage AI hardware startup as an ASR Engineer to build and own a production transcription pipeline from end-to-end. You'll work directly with leadership to ship cloud-based ASR systems optimized for latency, accuracy, and reliability while collaborating across product, hardware, and international R&D teams.

What you'll do

  • Build and iterate on cloud-based ASR pipelines handling audio capture through post-processing in production
  • Own ASR quality metrics including latency, small-word accuracy, and voice-print reliability
  • Handle data preparation, model training, fine-tuning, evaluation, and deployment workflows
  • Collaborate with partner product engineer on shared backend and pipeline infrastructure
  • Debug and resolve transcription quality issues in production environments
  • Coordinate asynchronously with R&D, hardware, and supply-chain teams across time zones

What they're looking for

  • ASR and transcription pipeline development (end-to-end)
  • Cloud-based audio processing and streaming systems
  • Model training and fine-tuning for speech recognition
  • Latency optimization for audio and ML systems
  • On-device ML frameworks (Core ML, TensorFlow Lite)
  • Production debugging and quality evaluation
  • Hardware/wearable product experience
  • Asynchronous collaboration across distributed teams

Benefits

  • Salary: $150,000–$200,000 USD annually
  • Hybrid work schedule (three days per week on-site in Bay Area)
  • Foundational role at early-stage AI startup with direct product impact
  • End-to-end ownership of core transcription technology
  • Collaboration with international R&D and hardware teams
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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.

View all jobs at Clera

Likely interview questions

  • Walk us through a production ASR system you built—what were the key trade-offs you made between latency, accuracy, and reliability?
  • How have you approached debugging transcription quality issues in production, and what metrics did you use to evaluate improvements?