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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 ~200 employees distributed worldwide with no physical office. You'll join the Data side of the AI team, responsible for building and operating the infrastructure that powers large-scale, high-quality dataset collection for model training.
In this role, you'll own multiple aspects of the data pipeline: sourcing new audio data, operating and extending cloud infrastructure (GCP, Terraform), and collaborating with research scientists to optimize the cost/throughput/quality tradeoff. You'll work on petabyte-scale data ingestion while keeping costs low through tight integration of infrastructure, engineering, and research. You'll also help shape the AI team's dataset roadmap to support next-generation consumer and enterprise products.
Key responsibilities include:
- Identifying and integrating new audio data sources into the ingestion pipeline
- Operating and extending GCP-based cloud infrastructure managed with Terraform
- Working with scientists to shift the cost/throughput/quality frontier
- Collaborating with the AI team and leadership on dataset strategy
You should have a BS/MS/PhD in Computer Science or related field, 5+ years of software development experience, strong proficiency in Python/bash scripting and Linux, hands-on experience with Docker and Infrastructure-as-Code, and familiarity with at least one major cloud provider. Experience with web crawlers and large-scale data processing workflows is a plus. The ideal candidate is adaptable, communicates well, and thrives in a fast-moving, entrepreneurial environment.
