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