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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 and ingestion pipelines that power Speechify's model training operations. You'll be responsible for discovering and integrating new audio data sources, operating and extending cloud infrastructure (GCP, Terraform), and collaborating closely with research scientists to optimize the cost/throughput/quality frontier. You'll help deliver high-quality datasets at petabyte scale while keeping costs low, and contribute to shaping the AI team's dataset roadmap for next-generation consumer and enterprise products.
Key responsibilities include: sourcing new audio data, managing the ingestion pipeline infrastructure, working with scientists to improve data quality and scale, and collaborating with leadership on strategic dataset priorities.
Ideal candidates have a BS/MS/PhD in Computer Science or related field, 5+ years of software development experience, proficiency with bash/Python in Linux, hands-on experience with Docker and Infrastructure-as-Code (GCP preferred), and ideally experience with web crawlers and large-scale data processing. Strong communication and adaptability are essential.
Speechify offers a fast-growing, entrepreneurial environment with hands-off management, competitive salaries, and the opportunity to impact millions of users with accessibility-focused technology.
