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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 employees globally in a fully distributed setting, 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 combining infrastructure, data engineering, and research collaboration.
Key responsibilities:
- Source and integrate new audio data streams into the ingestion pipeline
- Operate and extend cloud infrastructure (GCP, Terraform) for data pipelines
- Partner with ML scientists to optimize the cost/throughput/quality frontier
- Collaborate with AI leadership on dataset roadmap for consumer and enterprise products
You'll need 5+ years of software development experience, strong proficiency in Python/bash scripting, Docker, Infrastructure-as-Code, and cloud platforms (GCP preferred). Experience with web crawlers and large-scale data processing is a plus. A BS/MS/PhD in Computer Science or related field is required.
Speechify offers a fast-growing, entrepreneurial environment with hands-off management, competitive salaries, and the opportunity to impact millions of users with learning differences including dyslexia, ADD, low vision, and autism. You'll work at the intersection of AI and audio—one of tech's fastest-growing sectors.
