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Salary
≈ $167k – $365k per year (Estimated)
Location
In office (San Francisco)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Mar 17, 2026. Zyphra scores D on the Alion truth index.

Overview
Company
Impact
Profile match
Zyphra is an artificial intelligence research company that develops open foundation models, including the Zamba hybrid state-space language models and the Zonos text-to-speech models, with a focus on efficient models that can run on device. It also offers a cloud platform for its models and researches brain-computer interface models. The company is headquartered in San Francisco, California, United States.

Zyphra is an artificial intelligence company based in San Francisco, California.

The Role:

As aResearch 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

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