Zyphra
Research Engineer – Audio & Speech Models
Zyphra, Palo Alto, California, United States, 94306
Zyphra
is an artificial intelligence company based in Palo Alto, 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 to make grounded, methodical steps toward 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 Palo Alto, CA, with a collaborative, high‑energy environment
#J-18808-Ljbffr
is an artificial intelligence company based in Palo Alto, 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 to make grounded, methodical steps toward 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 Palo Alto, CA, with a collaborative, high‑energy environment
#J-18808-Ljbffr