Research - San Francisco, CA
Amplifier Health is seeking an experienced Research Engineer to join our team and focus on cutting-edge generative AI in speech. In this role, you will work primarily on training text-to-speech (TTS) models, handling data engineering of voice samples, and measuring the results to ensure high-quality outputs. Your expertise will contribute to advancing our AI capabilities and improving human-computer interaction through voice technology.
In this role, you will:
- Develop and innovate techniques and models for generative AI in speech, ensuring high-quality and realistic text-to-speech outputs.
- Design, train and fine-tune text-to-speech models using state-of-the-art methodologies.
- Engineer and curate large datasets of voice samples to enhance model performance.
- Measure and evaluate the performance of speech models, iterating to improve results.
- Familiar with open-source TTS landscape - VoiceCraft, MARS5, VALL-E, etc.
You might thrive in this role if you:
- Have extensive knowledge and experience with transformers, state space architecture and open-source TTS technologies.
- Are proficient in PyTorch, torchaudio, and training large and foundational models.
- Have a strong background in data engineering and processing large datasets of voice samples.
- Are comfortable with ambiguity and rapidly changing conditions, viewing changes as opportunities to introduce structure and order.
- Possess a strong desire to learn and fill in missing skills, coupled with an ability to share knowledge clearly and concisely.
About Amplifier Health
Amplifier Health is dedicated to advancing healthcare through innovative AI technologies and turning voice into a vital sign. We believe in the power of artificial intelligence to transform healthcare and improve outcomes for patients globally. Our mission is to create AI solutions that are safe, effective, and widely accessible, benefiting humanity as a whole.
We are an equal opportunity employer and do not discriminate based on race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or any other legally protected status.
For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
Join us at Amplifier Health and help shape the future of healthcare technology through the power of AI.