Research Engineer - Audio & Speech Models

Zyphra Technologies

  • San Francisco, CA
  • 30+ days ago
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    Skills

    • Architectural Designunmatched
    • Artificial Intelligence (AI)unmatched
    • Audio Engineeringunmatched
    • Communication Skillsunmatched
    • Computer Scienceunmatched
    • Data Collectionunmatched
    • Data Managementunmatched
    • Data Processingunmatched
    • Data Setsunmatched
    • Flexible Spending Accountsunmatched
    • GPU (Graphics Processing Unit)unmatched
    • Machine Learningunmatched
    • Mathematicsunmatched
    • Open Sourceunmatched
    • Parallel Computingunmatched
    • Physicsunmatched
    • Process Modelingunmatched
    • Prototypingunmatched
    • SSL-TLS (Secure Socket Layer - Transport Layer Security)unmatched
    • Signal Processingunmatched
    • Team Playerunmatched
    • Vision Planunmatched

    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 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 Were 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

    Numbers & Facts

    LocationSan Francisco, CA

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