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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. Speechify was recently named Chrome Extension of the Year by Google and won Apple's 2025 Design Award for Inclusivity.
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 maintaining cost efficiency through tight integration of infrastructure, engineering, and research. Key responsibilities include:
- Sourcing new audio data and integrating it into the ingestion pipeline
- Operating and extending cloud infrastructure for data ingestion on GCP using Terraform
- Collaborating with research scientists to optimize the cost/throughput/quality frontier, delivering richer datasets at scale and lower cost
- Working with the AI team and leadership to shape the 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.
Speechify operates as a 100% distributed company with ~200 employees globally, including engineers from Amazon, Microsoft, Google, Stanford PhD programs, and founders from high-growth startups like Stripe, Vercel, and Bolt. The culture emphasizes scrappiness, entrepreneurial thinking, hands-off management, and asynchronous collaboration. The work directly impacts millions of users, including people with learning differences like dyslexia, ADD, low vision, and autism.
