Applied Research Lead, Model Scaling
RunwayFull Time
Junior (1 to 2 years)
Candidates should have proven experience in backend development with Python, direct experience with GCP, and knowledge of AWS, Azure, or other cloud providers. They should also have experience with Docker, containerized deployments, and deploying high availability applications on Kubernetes. Preferred experience includes deploying NLP or TTS models to production.
The Senior Software Engineer will ensure infrastructure scales efficiently, optimize key product flows, and construct resilient end-to-end systems. This role involves working on state-of-the-art voice cloning and low latency, cost-effective text-to-speech solutions.
Text-to-speech application for accessibility
Speechify provides a text-to-speech application that helps users access information audibly. It is designed for a diverse audience, including students, professionals, and individuals with learning differences like dyslexia and ADHD. The application works by converting written text into spoken words, allowing users to listen to content through various platforms, including a Google Chrome extension, web app, and mobile apps for iOS and Android. This accessibility feature is particularly beneficial for those who prefer auditory learning or have difficulty reading. Unlike many competitors, Speechify offers a freemium model, where basic features are free, and advanced options are available through a subscription. This approach, along with partnerships with platforms like Medium and the Star Tribune, helps expand its reach to over 20 million users worldwide. The goal of Speechify is to eliminate reading barriers, enabling users to learn and retain information more effectively.