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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. 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, 100% remote company with ~200 employees globally.
In this role, you'll own all aspects of data collection to support model training operations. You'll work on building 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 (GCP, Terraform); collaborating with research scientists to optimize the cost/throughput/quality frontier; and helping shape the AI team's dataset roadmap for next-generation consumer and enterprise products.
You'll be scrappy and hands-on, working across infrastructure, engineering, and research. The role requires proficiency in Python/bash scripting, Docker, Infrastructure-as-Code, and experience with at least one major cloud provider (GCP preferred). Experience with web crawlers and large-scale data processing workflows is a plus. You'll need a BS/MS/PhD in Computer Science or related field and 5+ years of industry software development experience.
Speechy attracts talent from Amazon, Microsoft, Google, Stanford, and high-growth startups like Stripe, Vercel, and Bolt. The environment is entrepreneurial, hands-off, and focused on building products that directly impact people with learning differences like dyslexia, ADD, low vision, and autism.
