Model Evaluation QA Lead

Posted

DeepgramUSA | RemoteRemotefull-timelead

Tech Stack

Responsibilities

  • Design, build, and maintain automated model evaluation pipelines for candidate models, implementing objective and subjective quality metrics across STT, TTS, and STS products.
  • Embed model quality checkpoints into CI/CD and release pipelines, defining pass/fail criteria and owning the go/no-go signal for production promotions.
  • Stand up and operate evaluation tooling for end-to-end voice agent testing, covering accuracy, latency, turn-taking, conversational quality, and custom metrics.
  • Partner with the Active Learning team to validate data ingestion infrastructure, annotation pipelines, and retraining automation.
  • Automate execution and reporting of industry-standard benchmarks and maintain reproducible benchmark environments across multiple model versions.

Benefits

  • 401k
  • Flexible Hours
  • Gym Membership
  • Health Insurance
  • Learning Budget
  • Parental Leave
  • Remote Stipend
  • Unlimited PTO

Culture

AI-FirstFast-PacedExperimentationAdaptabilityContinuous LearningCustomer-ObsessedCross-Functional TeamsCollaborationInclusive Hiring

Requirements

Regions: Us

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About Deepgram
Industry: ai
Size: small

Deepgram is the leading Voice AI platform providing real-time APIs for speech-to-text, text-to-speech, and building production-grade voice agents, trusted by over 200,000 developers and 1,300+ organizations. The company's voice-native foundation models offer unmatched accuracy, low latency, and cost efficiency, having processed over 50,000 years of audio.

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