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python gcp deep learning pytorch machine learning
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πŸ“‹ Description

  • Set technical direction for speech-model and decoder strategy across the team.
  • Lead research, adaptation, and implementation of ASR/STT, speech-enhancement, and related audio
  • Improve the speech pipeline end to end, including decoding, endpointing, turn detection, streaming
  • Benchmark, prototype, fine-tune, distill, or otherwise adapt models for better quality, latency
  • Design and ship production-grade services and inference components for real-time speech.
  • Partner with speech, NLP, telephony, platform, product, and infrastructure engineers; lead

🎯 Requirements

  • 5+ years of experience in speech ML, speech recognition, speech enhancement, audio AI, or closely
  • Strong Python programming skills and experience with deep learning frameworks such as PyTorch.
  • Deep understanding of modern ASR/STT architectures and decoding techniques.
  • Experience building, deploying, and operating low-latency, production-grade ML or backend services
  • Demonstrated ability to set technical direction, communicate clearly, mentor engineers, and make

🎁 Benefits

  • Competitive salary and comprehensive benefits.
  • Work at the center of the AI transformation in business communications.
  • Build and ship agentic AI products redefining company operations.
  • Cutting-edge AI tools and robust training program.
  • Inclusive office environment and recognized culture (Great Place to Work).
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