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Speechify is a text-to-speech platform used by over 50 million people globally to convert PDFs, books, Google Docs, articles, and websites into audio. The company was recently named Chrome Extension of the Year by Google and received Apple's 2025 Design Award for Inclusivity. With ~200 employees distributed globally and no physical offices, Speechify operates a fully remote, asynchronous culture.
You'll join the Data side of Speechify's AI team, responsible for all aspects of data collection supporting 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 directly impact the next generation of Speechify's consumer and enterprise AI products.
Key responsibilities include: sourcing new audio data and integrating it into the ingestion pipeline; operating and extending cloud infrastructure (GCP, Terraform) for data ingestion; collaborating with research scientists to optimize the cost/throughput/quality frontier; and working with leadership to shape the AI team's dataset roadmap.
You should have a BS/MS/PhD in Computer Science or related field, 5+ years of software development experience, and strong proficiency with Python/bash scripting, Docker, Infrastructure-as-Code, and at least one major cloud provider (GCP preferred). Experience with web crawlers and large-scale data processing workflows is a plus. The role demands adaptability, strong communication, and comfort operating in a fast-moving, entrepreneurial environment where you can shape product direction and make measurable impact on a platform used by millions, including people with learning differences like dyslexia, ADD, low vision, and autism.
