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Speechify is a mission-driven company making reading accessible to 50+ million users through text-to-speech technology. The company is 100% distributed with ~200 employees globally, including engineers from Amazon, Microsoft, Google, and Stanford PhD researchers.
You'll join the Data side of Speechify's 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 into the ingestion pipeline
- Operate and extend cloud infrastructure on GCP using Terraform
- Partner with AI scientists to optimize the cost/throughput/quality frontier for datasets
- Collaborate with leadership on the AI team's dataset roadmap for next-generation products
You'll need 5+ years of software development experience, strong proficiency in Python/bash scripting, Docker, and Infrastructure-as-Code. Experience with web crawlers and large-scale data processing is a plus. The ideal candidate holds a BS/MS/PhD in Computer Science or related field.
Speechy offers a fast-growing, entrepreneurial environment with hands-off management, competitive salaries, and the opportunity to impact products used by millions, including people with dyslexia, ADD, low vision, and autism.
