zyphra

Research Engineer - Audio & Speech Models

Listed by employer · Checked

Older posting · still listed ·

  • onsite
  • FullTime
  • R&D - Engineering
  • San Francisco
Work arrangement
onsite
Employment
FullTime
Stated compensation
Not specified
Stated sponsorship
Not stated
Apply on company website ↗
01 / A QUICK CHECK BEFORE YOU APPLY

Does the location policy fit?

Choose where you would work from. We’ll compare it with the posting’s stated requirements.

Choose the country you will work from. You can change this anytime.

Country and sponsorship changes take effect when you click Check eligibility.

Choose a country to check geographic compatibility. The source requirements are available below.

Source: ashbyChecked Original posting ↗
This is an older posting.

The employer’s posting date is more than 60 days ago. It remained listed at our last successful check; it may be a long-running or evergreen opening. Confirm availability on the original posting before applying.

Browse jobs posted in the past 60 days →

Requirements

1 with evidence8 unclear or unstated
Remote policy
onsite
“Provider workplace type: onsite”
From employer posting metadata
Employment type
FullTime
9 fields not stated in this posting
Employer sponsorship
Not specified
Geographic scope
Not specified
Degree requirement
Not specified
Security clearance
Not mentioned
Timezone / hours
Not specified
Citizenship requirement
Not mentioned
Minimum experience (years)
Not specified
Work authorization
Not specified
Compensation
Not specified

These details were not stated in the tracked posting. Confirm with the employer.

READ IT IN THE EMPLOYER’S OWN WORDS

Original job description

Reading view uses normalized posting text so exact evidence excerpts can be highlighted.

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.
Read full descriptionShow less description
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
Original formatting and links

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

Similar roles

All zyphra jobs →

Matched by role category. Review each posting’s requirements before applying.

THE JOB ELIGIBILITY CHECKER

Check a job