Zyphra is hiring: Research Engineer – Audio & Speech Models in Palo Alto
Zyphra, Palo Alto, CA, United States, 94306
Research Engineer – Audio & Speech Models
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Research Engineer – Audio & Speech Models
4 days ago Be among the first 25 applicants
Join to apply for the Research Engineer – Audio & Speech Models role at Zyphra
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
- 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.
- 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)
- 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
- 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
Seniority level
Seniority level
Entry level
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information TechnologyIndustries
Technology, Information and Internet
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