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Speech Recognition Research Engineer Jobs (NOW HIRING)

... or Speech Recognition. * Empirical research mindset: forming hypotheses about new algorithms ... A history of mentoring junior engineers and interns is a huge plus. * A desire to constantly grow ...

Senior Research Engineer - Enterprise Products

OR · On-site +1

$104K - $143K/yr

... Speech Recognition. Empirical research mindset: forming hypotheses about new algorithms, running calibrations, iterating on results Strong communication and interpersonal skills, along with the ...

... Speech Recognition. Empirical research mindset: forming hypotheses about new algorithms, running calibrations, iterating on results Strong communication and interpersonal skills, along with the ...

About Job AI Engineer: Speech/Audio Centific AI Research About Centific AI Research Centific AI Research is at the forefront of developing cutting-edge AI solutions that bridge the gap between ...

About Job AI Engineer: Speech/Audio Centific AI ResearchAbout Centific AI Research Centific AI Research is at the forefront of developing cutting-edge AI solutions that bridge the gap between ...

Sr. AI Engineer (Speech)

Bay, AR · On-site +1

$117K - $155K/yr

... speech recognition, enhancement, audio intelligence, and real-time inference. You'll bridge ML ... Lead research, adaptation, and implementation of ASR/STT, speech-enhancement, and related audio ...

About the Role We are hiring a Research Engineer to accelerate Smule's research teams by building ... Experience with audio, speech, or music signal processing pipelines. * Familiarity with ...

Sr. AI Engineer (Speech)

San Francisco, CA · On-site +1

$144K - $190K/yr

... speech recognition, enhancement, audio intelligence, and real-time inference. You'll bridge ML ... Lead research, adaptation, and implementation of ASR/STT, speech-enhancement, and related audio ...

$200 - $250/hr

... recognition, enhancement, audio intelligence, and real‑time inference. You'll bridge ML science ... Speech Model Development: Lead research, adaptation, and implementation of ASR/STT ...

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Speech Recognition Research Engineer information

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How much do speech recognition research engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for speech recognition research engineer in the United States is $106,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $104,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Speech Recognition Research Engineer jobs?

For Speech Recognition Research Engineer jobs, the most frequently searched job titles are:

Infographic showing various Speech Recognition Research Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 9% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $106,012 per year, or $51 per hour.

Research Engineer - Audio & Speech Models

San Francisco, CA • On-site

Zyphra Technologies Inc
Computer and Peripheral Equipment Manufacturing • 1 - 10 employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 hours ago


Job 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 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