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We firmly believe in AI for good.

Creatives around the globe use Studio to create compelling employee training, design unique digital experiences, and narrate audiobooks. We enable creatives 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.

We have developed a breakthrough AI algorithm that creates synthetic, realistic speech from text. You will work on our core Text-to-Speech (TTS) service that enables creatives to make lifelike voiceovers for videos, audiobooks, and trainings.

WellSaid Labs ****is looking to hire a Senior Software Engineer, Machine Learning. This is a unique opportunity to join a fast-growing startup early and to make a meaningful impact.

What you'll do:

In this role, you will be working with the CTO to elevate the developer experience for our State-of-the-Art Deep Learning TTS service. This includes optimizing our training pipeline, automating our delivery pipelines, and rewriting abstraction layers.

More specifically, you'll work on:

• Iteratively and incrementally improve the ease of use, reliability, and performance of our TTS service.
• Build tooling for automating custom voice creation.
• Set up a CI / CD pipeline.
• Develop data structures for loading, processing, and validating 1000s of hours of text and speech data.
• Improve the performance and the scalability of our machine learning training pipeline by integrating tools like DeepSpeed, PyTorch AMP, PyTorch JIT, and PyTorch Profiler.
• Monitor our TTS deployment. You'll manage standard metrics like latency, performance, and cost. You'll also keep track of TTS metrics like loudness, cadence, and naturalness.
• Improve the scalability of our TTS deployment.
• Be mindful and conscientious of AI ethics and the social impact of the work you do at WellSaid Labs.
• Open-source reusable libraries and tooling.
• Help interview and recruit more talented engineers to WellSaid Labs!