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Speechify is hiring a Software Engineer to join the Data side of its AI team. The role is responsible for all aspects of data collection and pipeline infrastructure to support model training operations at petabyte scale. You'll work on building high-quality datasets efficiently through tight integration of infrastructure, engineering, and research.
Key responsibilities include: sourcing new audio data and integrating it into ingestion pipelines; operating and extending cloud infrastructure on GCP managed with Terraform; collaborating with research scientists to optimize the cost/throughput/quality frontier; and working with the AI team and leadership to shape the dataset roadmap for next-generation consumer and enterprise products.
You should have a BS/MS/PhD in Computer Science or related field, 5+ years of industry software development experience, and proficiency with bash/Python scripting in Linux environments. Docker and Infrastructure-as-Code experience with a major cloud provider (GCP preferred) is required. Experience with web crawlers and large-scale data processing workflows is a plus. Strong communication skills and ability to handle multiple priorities are essential.
Speechify is a 100% distributed company with ~200 employees globally, including engineers from Amazon, Microsoft, Google, and Stanford. The company has 50+ million users of its text-to-speech products across iOS, Android, Mac, Chrome, and web. Google named Speechify Chrome Extension of the Year; Apple awarded it the 2025 Design Award for Inclusivity. The role offers a fast-growing environment, entrepreneurial team culture, hands-off management, competitive salary, and the opportunity to impact millions of users with accessibility-focused technology.
