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Salary: USD 140,000 - 200,000 / annual
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 named Chrome Extension of the Year by Google and received Apple's 2025 Design Award for Inclusivity. With ~200 employees in a fully distributed setting, Speechify combines talent from major tech companies (Amazon, Microsoft, Google), leading research institutions (Stanford PhD programs), and high-growth startups (Stripe, Vercel, Bolt).
This role sits on 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 and low cost through tight integration of infrastructure, engineering, and research.
Key responsibilities include: sourcing new audio data and integrating it into the ingestion pipeline; operating and extending cloud infrastructure for the pipeline (GCP, Terraform); collaborating with research scientists to optimize the cost/throughput/quality frontier; and working with AI leadership to shape the dataset roadmap for next-generation consumer and enterprise products.
Ideal candidates have a BS/MS/PhD in Computer Science or related field, 5+ years of software development experience, proficiency with bash/Python in Linux, Docker and Infrastructure-as-Code expertise, and professional experience with a major cloud provider (GCP preferred). Experience with web crawlers and large-scale data processing workflows is a plus. The role requires strong communication skills and the ability to handle multiple priorities in a fast-moving environment.
