Asks for

The ad says“Expertise and intuition for training models in the audio domain, including text-to-speech, ASR, speech-to-speech, speech-emotion-recognition, or other models”
The ad says“Experience in training audio autoencoders”
The ad says“Expertise and intuition for training models in the audio domain, including text-to-speech, ASR, speech-to-speech, speech-emotion-recognition, or other models”
The ad says“Experience with diffusion models, consistency models, or GANs”
The ad says“Experience with diffusion models, consistency models, or GANs”
The ad says“Strong grasp of proper experimental methodology for running rigorous ablations and other hypothesis testing”
The ad says“Experience with diffusion models, consistency models, or GANs”
The ad says“Experience with training on large-scale (multi-node) GPU clusters”
The ad says“Previously published machine learning research in well-respected venues”
The ad says“Understanding of and interest in large-scale, highly parallel data processing pipelines”
The ad says“Proficiency with PyTorch and Python”
The ad says“Proficiency with PyTorch and Python”
The ad says“Understanding of signal processing, especially of audio signals”
The ad says“Expertise and intuition for training models in the audio domain, including text-to-speech, ASR, speech-to-speech, speech-emotion-recognition, or other models”
The ad says“Expertise and intuition for training models in the audio domain, including text-to-speech, ASR, speech-to-speech, speech-emotion-recognition, or other models”
The ad says“Expertise and intuition for training models in the audio domain, including text-to-speech, ASR, speech-to-speech, speech-emotion-recognition, or other models”

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