We’re creating a Voice for everyone.
At WellSaid Labs, we enable creatives around the globe by putting high-tech, human parity technology into their hands, giving them the ability to add voice-over to any project and iterate with ease. Creative teams use WellSaid Lab’s Voice Studio to create compelling employee training, design unique digital experiences, and narrate audiobooks. We believe deeply in AI for Good, and that technology should be empowering, engaging, and fair to all people
As Staff Software Engineer on the ML Platform Team, you will work with the CTO to elevate our machine learning platform and extend our state-of-the-art text-to-speech models. This work includes optimizing our training pipeline, automating data processing, and redesigning abstraction layers.
You would be joining and leading a pioneering team with years of experience being the industry leader in text-to-speech.
In your day-today, you'll work on:
To thrive in this role, you ideally have developed complex PyTorch models, experience deploying and monitoring models in production, and an deep understanding of scaling machine learning services. You ideally have led significant deep learning projects to address customer problems.
Ideally, you also have some combination of the following:
To join our team you must also:
WSL is proud to support an inclusive work environment that emphasizes each team member’s personal and professional growth. Our team is fully distributed throughout the U.S., and we support flexible schedules - work where and when you work best. You’ll have teammates just a Slack message or video call away if you ever need help solving an exciting challenge, or even if you just have a funny story to tell.
Other perks and benefits:
As a startup, we strive to be externally competitive with companies at a similar size and stage, and internally fair in our pay practices. The hiring salary range for this role is $180-210k and represents the target offer range given the scope and experience expectations for this role.
We strongly encourage you to apply! If we feel your skills, experience, and values match, we’ll reach out about meeting with the team.
During the interview stage, you can expect:
All interviews will be remote via Google Meets; we are happy to make accommodations you might need to feel comfortable and set up for success in our process.
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