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Research Engineer – Audio & Speech Models

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Zyphra

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Location:
United States , Palo Alto

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

As a Research Engineer - Audio & Speech Models, you will be a core contributor on Zyphra’s Audio Team, building the next generation of open-source text-to-speech and audio models. You will be deeply involved in the entire model training process from data gathering and processing to designing novel architectures and training methodologies.

Job Responsibility:

  • Building the next generation of open-source text-to-speech and audio models
  • Deeply involved in the entire model training process from data gathering and processing to designing novel architectures and training methodologies
  • Work across: Large-scale audio training runs
  • Performance optimization of our training stack
  • Audio dataset collection, processing, and evaluation
  • Architecture and training methodology ablations and improvements

Requirements:

  • Strong research taste and intuition. The ability to work through a research project from conception to execution to write-up
  • Strong implementation and prototyping ability (can take an idea from conception to experimentation quickly)
  • The ability to work well with others in a high-paced research setting
  • Can rapidly learn new fields and are excited to implement new ideas
  • Excellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale.

Nice to have:

  • Expertise and intuition for training models in the audio domain, including text-to-speech, ASR, speech-to-speech, speech-emotion-recognition, or other models
  • Experience in training audio autoencoders
  • Understanding of signal processing, especially of audio signals
  • Experience with diffusion models, consistency models, or GANs
  • Experience with training on large-scale (multi-node) GPU clusters
  • Strong grasp of proper experimental methodology for running rigorous ablations and other hypothesis testing
  • Understanding of and interest in large-scale, highly parallel data processing pipelines
  • Proficiency with PyTorch and Python
  • Experience contributing to large pre-existing codebases and rapidly getting up to speed
  • Previously published machine learning research in well-respected venues
  • Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Mathematics, Physics, Machine Learning)
What we offer:
  • Comprehensive medical, dental, vision, and FSA plans
  • Competitive compensation and 401(k)
  • Relocation and immigration support on a case-by-case basis
  • On-site meals prepared by a dedicated culinary team
  • Thursday Happy Hours

Additional Information:

Job Posted:
January 13, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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