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Speechify is a text-to-speech platform used by over 50 million people globally to convert PDFs, books, Google Docs, news articles, and websites into audio. The company has won Chrome Extension of the Year from Google and Apple's 2025 Design Award for Inclusivity. With ~200 employees distributed globally and no physical offices, Speechify is building AI-powered accessibility solutions that help people with dyslexia, ADD, low vision, and other learning differences.
You'll join the Data side of the AI team, responsible for all aspects of data collection to support model training operations. The team builds high-quality datasets at petabyte scale through tight integration of infrastructure, engineering, and research. This is a hands-on role where you'll be scrappy in finding new audio data sources and bringing them into the ingestion pipeline.
Key responsibilities include: operating and extending cloud infrastructure for the ingestion pipeline (currently GCP, managed with Terraform); collaborating with research scientists to optimize the cost/throughput/quality frontier; delivering richer datasets at larger scale and lower cost; and working with the AI team and leadership to shape the dataset roadmap for next-generation consumer and enterprise products.
You should have a BS/MS/PhD in Computer Science or related field, 5+ years of software development experience, proficiency with bash/Python in Linux environments, and hands-on experience with Docker and Infrastructure-as-Code on a major cloud provider. Experience with web crawlers and large-scale data processing workflows is a plus. The role requires strong communication skills and the ability to adapt to changing priorities in a fast-moving environment.
Speechify offers a competitive salary, entrepreneurial culture that supports risk and hustle, hands-off management, and the opportunity to impact a transformative industry at the intersection of AI and audio accessibility.
