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David AIDavid AISan Francisco, CA

Senior Machine Learning Research Engineer

Build cutting-edge speech and audio ML models, production inference systems, and resilient pipelines. Own full ML lifecycle from research to deployment on terabytes of audio data.

190k – 260k/yr
On-site5+ YOEML Engineering

About the role

Responsibilities

  • Research, design, and implement solutions using advanced signal processing algorithms and cutting-edge ML models for speech and audio
  • Develop production-grade inference algorithms, pipelines, and APIs with cross-functional teams
  • Collaborate with Operations team to gather training and evaluation datasets to improve model quality
  • Architect systems for resilient, durable inference and evaluations

Requirements

  • 5+ years of professional audio ML experience, including DSP and ML audio algorithm development
  • End-to-end ownership of ML pipelines from proof-of-concept to production deployment
  • Strong coding skills in Python and proficiency with deep learning frameworks such as PyTorch
  • Ability to translate research papers into high-quality, production-ready code
  • Experience deploying ML systems for production inference with cloud technologies
  • Track record of setting ML roadmaps and influencing technical direction
  • Ability to assess model quality in the context of user experience and business value

Nice-to-haves

  • PhD or Masters in Computer Science or related field
  • Experience training large neural network models
  • Expertise in audio signal processing (classical and ML techniques)
  • Publications in top conferences (NeurIPS, ICML, ICLR, CVPR, etc.)

Skills

PythonPyTorchMachine LearningDeep LearningSignal ProcessingAudio MlDspModel DeploymentCloud TechnologiesMl Pipelines

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