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Speechify is hiring a Software Engineer to join the Data side of its AI team. The company's mission is to make reading accessible through text-to-speech technology, serving over 50 million users across iOS, Android, Mac, Chrome, and web platforms. Speechify was recently named Chrome Extension of the Year by Google and received Apple's 2025 Design Award for Inclusivity.
In this role, you'll own all aspects of data collection and ingestion pipelines to support model training operations. You'll work on building high-quality datasets at petabyte scale while optimizing for cost and throughput. Key responsibilities include:
- Sourcing new audio data and integrating it into the ingestion pipeline
- Operating and extending cloud infrastructure on GCP, managed with Terraform
- Collaborating with research scientists to optimize the cost/throughput/quality frontier
- Working with the AI team and leadership to define the dataset roadmap for next-generation consumer and enterprise products
You should have 5+ years of software development experience, strong proficiency in Python/bash scripting, Docker, and Infrastructure-as-Code. Experience with web crawlers and large-scale data processing is a plus. The ideal candidate holds a BS/MS/PhD in Computer Science or related field and can handle multiple priorities while communicating effectively.
Speechy operates as a fully distributed, 100% remote company with ~200 employees globally, including engineers from Amazon, Microsoft, Google, and Stanford. The culture emphasizes entrepreneurial thinking, hands-off management, and asynchronous collaboration. You'll work on products that directly impact people with learning differences including dyslexia, ADD, low vision, and autism.
