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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.
Key responsibilities:
- Source and integrate new audio data into the ingestion pipeline
- Operate and extend cloud infrastructure (GCP, Terraform) for data ingestion
- Partner with research scientists to optimize the cost/throughput/quality frontier, delivering richer datasets at scale and lower cost
- Collaborate 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, and strong proficiency in bash/Python scripting, Docker, and Infrastructure-as-Code. 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, scrappy environment.
Speechify offers competitive salaries, a hands-off management approach, and the opportunity to impact a product that directly supports people with learning differences including dyslexia, ADD, low vision, and autism.
