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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 has been recognized by Google (Chrome Extension of the Year) and Apple (2025 Design Award for Inclusivity) and operates as a fully distributed team of ~200 people across engineering, AI research, and product roles.
You'll join the Data side of Speechify's 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 own critical infrastructure and data pipelines.
Key responsibilities include: sourcing new audio data and integrating it into ingestion pipelines; 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 for next-generation consumer and enterprise products.
You should have a BS/MS/PhD in Computer Science or related field, 5+ years of industry software development experience, strong proficiency in bash/Python scripting in Linux environments, hands-on experience with Docker and Infrastructure-as-Code, and professional experience with a major cloud provider (GCP preferred). Experience with web crawlers and large-scale data processing workflows is a plus. The ideal candidate is adaptable, communicates clearly, and thrives in a fast-moving, entrepreneurial environment.
Speechify offers competitive salaries, a laid-back asynchronous culture, hands-off management, and the opportunity to impact millions of users—particularly those with learning differences like dyslexia, ADD, low vision, and autism. You'll work at the intersection of AI and audio, one of tech's fastest-growing sectors.
