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Salary: USD 140,000 - 200,000 / annual
Speechify is a 50M+ user text-to-speech platform that transforms reading into audio across iOS, Android, Mac, Chrome, and web. The company was named Chrome Extension of the Year by Google and won Apple's 2025 Design Award for Inclusivity. With ~200 distributed employees globally, Speechify is building next-generation AI models for accessibility.
You'll join the Data side of the AI team, owning all aspects of data collection and pipeline infrastructure to support model training at petabyte scale. This is a hands-on engineering role where you'll be scrappy in sourcing new audio data, operating and extending cloud infrastructure on GCP (managed via Terraform), and collaborating closely with research scientists to optimize the cost/throughput/quality frontier. You'll also help shape the AI team's dataset roadmap alongside leadership to power Speechify's next-generation consumer and enterprise products.
Key responsibilities include: discovering and integrating new audio data sources into ingestion pipelines; operating and extending GCP-based cloud infrastructure; working with scientists to shift performance boundaries; and contributing to strategic dataset planning.
You bring 5+ years of software development experience, strong proficiency in Python/bash scripting in Linux, hands-on Docker and Infrastructure-as-Code experience with a major cloud provider (ideally GCP), and ideally background with web crawlers or large-scale data processing. A BS/MS/PhD in Computer Science or related field is expected. You're adaptable, communicate clearly, and thrive in a fast-moving, entrepreneurial environment.
Speechify offers competitive salary ($140k–$200k base + bonus + equity), a fully distributed 100% async culture, hands-off management, and the chance to impact millions of users with learning differences including dyslexia, ADD, low vision, and autism.
