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Salary: USD 30,000 - 120,000 / 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 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.
This role sits on the Data side of Speechify's AI team, responsible for building and operating the infrastructure that powers large-scale, high-quality dataset collection for model training. The position bridges engineering, infrastructure, and research to deliver petabyte-scale datasets at low cost.
Key responsibilities include:
- Identifying and integrating new audio data sources into the ingestion pipeline
- Operating and extending cloud infrastructure (GCP, Terraform) for data collection workflows
- Collaborating with AI scientists to optimize the cost/throughput/quality tradeoff in dataset creation
- Contributing to the AI team's dataset roadmap to support next-generation consumer and enterprise products
The ideal candidate has a BS/MS/PhD in Computer Science or related field with 5+ years of software development experience. Required skills include proficiency in bash/Python scripting, Docker, Infrastructure-as-Code, and hands-on experience with 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 the ability to balance multiple priorities in a fast-moving environment.
Speechify emphasizes an entrepreneurial culture with hands-off management, asynchronous collaboration, and a focus on building products that directly impact people with learning differences including dyslexia, ADD, low vision, and autism.
