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Research Engineer - Audio & Speech Models

Zyphra · San Francisco

Extracted from the posting

Base
Not stated
Remote
On-site
Visa
Relocation and immigration support on a case-by-case basis
Stack
PyTorch, Python

Core contributor on Zyphra's Audio Team building open-source autoencoders, ASR, TTS, SSL, and speech-to-speech models. Responsibilities include large-scale audio training runs, training stack performance optimization, audio dataset collection and processing, and architecture ablations. Requires PyTorch, Python, and experience training audio models on multi-node GPU clusters.

Zyphra is an artificial intelligence company based in San Francisco, California.


The Role:

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 autoencoders, ASR, TTS, SSL, and speech-to-speech models. You will be deeply involved in the entire model training process, from data gathering and processing to designing novel architectures and training methodologies.


You’ll 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


What We're Looking For / 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
  • Excellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale


Qualifications / Additional Skills:

  • 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)


Why Work at Zyphra:

  • Our research methodology is grounded in methodical, step-by-step approaches to ambitious goals. Both deep research and engineering excellence are equally valued
  • We strongly value new and crazy ideas and are very willing to bet big on new ideas
  • We move as quickly as we can; we aim to minimize the bar to impact as low as possible
  • We all enjoy what we do and love discussing AI


Benefits and Perks:

  • Comprehensive medical, dental, vision, and FSA plans
  • Competitive compensation and 401(k) plan
  • Relocation and immigration support on a case-by-case basis
  • In-office snacks and meals provided
  • Unlimited PTO and company holidays
  • In-person team in San Francisco with a collaborative, high-energy environment

Technologies

PyTorchPython
Zyphra
Zyphra
Website

Job details

TypeFull-time
Work ModeOn-site
LevelMid Level
Location🇺🇸San Francisco, CA
PostedNov 06, 2026
Apply Now

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