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DecagonDecagonSan Francisco, CA

Staff Research Engineer, Voice

Leads development of models and algorithms for real-time voice AI agents, focusing on speech understanding, naturalness, and production deployment. Requires 8+ years in AI/ML engineering, Python fluency, and experience deploying LLMs.

350k – 475k/yr
Hybrid8+ YOEAI Research

About the role

In this role, you will

  • Lead research and engineering efforts to improve core conversational capabilities in production, including instruction following, retrieval, memory, and long-horizon task completion
  • Build and iterate on end-to-end models and pipelines that optimize for quality, efficiency, and user experience
  • Partner with platform and product engineers to integrate new models into production systems
  • Break down ambiguous research ideas into clear, iterative milestones and roadmaps
  • Mentor other researchers/engineers, set technical direction, and establish best practices for applied research and engineering

Your background looks something like this

  • 8+ years of experience in AI/ML engineering or research
  • Prior experience post-training and deploying LLMs in production environments
  • Fluency in Python and modern ML tooling (training, evaluation, data pipelines)
  • Track record of taking research ideas from prototype → reliable, measurable production impact
  • Ability to define a roadmap, break ambiguity into milestones, and lead cross-functional execution

Compensation

$350K – $475K + Offers Equity

Skills

PythonLLMsMachine LearningSpeech RecognitionPyTorchTensorFlowTransformersData PipelinesModel TrainingModel Evaluation

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