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Zyphra
Verified live 2d ago

Research Engineer – Audio & Speech Models

Brief overview

San FranciscoIn-person
MastersOr in progress
4 H-1B approvalsDept. of Labor
PyTorchPythonSignal processingAudio modelingText-to-speechASRSpeech-to-speechSpeech emotion recognitionDiffusion modelsConsistency modelsGANsLarge-scale GPU trainingExperimental methodologyData processing pipelines

About the company

Zyphra is a full stack artificial intelligence company based in Palo Alto, California.

Visa sponsorship history

2 years sponsoring, last filed FY2026

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
4H-1B approved
100%approval rate
$187,574median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20251
20263
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20263
Top sponsored roles
Data Infrastructure Engineer (Member of Technical Staff)Member of Technical Staff (LLM Performance & Optimization)Software Developer (Member of Technical Staff)

Job description

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 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.

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

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.

Bonus Qualifications:

  • 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)

  • Relocation and immigration support on a case-by-case basis

  • On-site meals prepared by a dedicated culinary team; Thursday Happy Hours

  • In-person team in San Francisco, California. with a collaborative, high-energy environment

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