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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.
This role is part of Speechify's AI team, specifically focused on the data infrastructure and acquisition side. You'll be responsible for all aspects of data collection to support model training operations, building high-quality datasets at petabyte scale while optimizing for cost and quality.
Key responsibilities include:
- Identifying and integrating new sources of audio data into the ingestion pipeline
- Operating and extending cloud infrastructure for data ingestion, currently running on GCP and managed with Terraform
- Collaborating with research scientists to optimize the cost/throughput/quality frontier, delivering richer datasets at larger scale and lower cost
- Working with the AI team and leadership to develop the dataset roadmap for next-generation consumer and enterprise products
You'll need 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. 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.
