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Salary: USD 30,000 - 115,000 / annual
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. Recently recognized as Chrome Extension of the Year by Google and a 2025 Apple Design Award winner for Inclusivity, Speechify operates as a fully distributed company with ~200 employees globally.
In this role, you will own all aspects of data collection to support model training operations. You'll build high-quality datasets at petabyte scale while optimizing for cost and quality. Key responsibilities include: sourcing new audio data and integrating it into ingestion pipelines; operating and extending cloud infrastructure on GCP using Terraform; collaborating with research scientists to optimize the cost/throughput/quality frontier; and working with leadership to shape the AI team's dataset roadmap for next-generation consumer and enterprise products.
You should have a BS/MS/PhD in Computer Science or related field, with 5+ years of industry software development experience. Required skills include proficiency in bash/Python scripting in Linux environments, Docker, Infrastructure-as-Code concepts, and hands-on experience with a major cloud provider (GCP preferred). Experience with web crawlers and large-scale data processing workflows is a plus. The ideal candidate is scrappy, adaptable to changing priorities, and communicates effectively both written and verbally.
Speechy offers a fast-growing environment where you can shape the product and company direction. The team values entrepreneurial thinking, risk-taking, and hustle, with a hands-off management approach. You'll work on a transformative product impacting millions, particularly those with learning differences like dyslexia, ADD, low vision, and autism. The company emphasizes asynchronous culture, competitive compensation, and the opportunity to work at the intersection of AI and audio.