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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 office, Speechify operates a fully remote, asynchronous culture.
This role sits within Speechify's AI team, specifically on the data infrastructure side. You'll own all aspects of data collection and pipeline operations that support the company's model training operations. The team builds high-quality datasets at petabyte scale while optimizing for 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 (GCP, Terraform-managed) for data ingestion
- Collaborating with research scientists to optimize the cost/throughput/quality frontier, delivering richer datasets at scale and lower cost
- Working with the AI team and leadership to define the dataset roadmap for next-generation consumer and enterprise products
You'll need 5+ years of software development experience, strong proficiency in Python/bash scripting, Docker, Infrastructure-as-Code, and hands-on experience with a major cloud provider (GCP preferred). Experience with web crawlers and large-scale data processing is a plus. A BS/MS/PhD in Computer Science or related field is expected. The role demands adaptability, strong communication, and the ability to juggle multiple priorities in a fast-moving environment.
