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Speechify is a text-to-speech platform used by over 50 million people globally to convert PDFs, books, Google Docs, articles, and websites into audio. The company was recently named Chrome Extension of the Year by Google and received Apple's 2025 Design Award for Inclusivity. With ~200 employees distributed globally and no physical office, Speechify operates a fully remote, asynchronous culture.
This role joins Speechify's AI team on the data infrastructure side, responsible for all aspects of data collection to support model training operations. The team builds high-quality datasets at petabyte scale 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 (GCP, Terraform)
- Collaborating with research scientists to optimize the cost/throughput/quality frontier
- Working with the AI team and leadership to define the dataset roadmap for next-generation consumer and enterprise products
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, Docker and Infrastructure-as-Code expertise, and hands-on experience with at least one major cloud provider (GCP preferred). Web crawler and large-scale data processing experience is a plus. Strong communication and ability to juggle multiple priorities are essential.
Speechify offers a fast-growing, entrepreneurial environment with hands-off management, competitive salaries, and the opportunity to impact a transformative product used by millions, including those with learning differences like dyslexia, ADD, low vision, and autism.
