Remote Contract
PUBLISHED
Sep 2, 2026
Join Speechify's AI team to build and manage petabyte-scale data pipelines for training next-generation text-to-speech models. Work on cloud infrastructure, data acquisition, and collaborate with scientists to push the boundaries of AI-driven audio quality.
Speechify is on a mission to make reading never a barrier to learning. With over 50 million users, their text-to-speech products (iOS, Android, Mac, Chrome Extension, and Web App) transform PDFs, books, documents, and articles into audio, enabling faster reading and better comprehension. Google named Speechify the Chrome Extension of the Year, and Apple awarded it the 2025 Design Award for Inclusivity. The company operates fully distributed with nearly 200 employees, including engineers and researchers from Amazon, Microsoft, Google, Stanford, Stripe, Vercel, and Bolt. Speechify is at the forefront of AI-powered audio and accessibility.
We are looking for a skilled Software Engineer to join the AI team, specifically focused on data infrastructure and acquisition. This role is critical for building and scaling the high-quality datasets required to train our next-generation models. You will own the data pipeline end-to-end, from discovering and ingesting new audio sources to managing cloud infrastructure at petabyte scale. You will work closely with research scientists to optimize cost, throughput, and data quality, directly impacting the performance of our AI models. This position offers a unique blend of infrastructure engineering, data engineering, and collaboration with world-class AI researchers.
The role involves working extensively with cloud-native tools and building scalable, automated data pipelines.