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Speechify is a text-to-speech platform used by over 50 million people globally to convert PDFs, books, Google Docs, news 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 sits on the Data side of Speechify's AI team, 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 sources and integrating them into the ingestion pipeline
- Operating and extending cloud infrastructure (GCP, Terraform) for the data ingestion pipeline
- 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 define the dataset roadmap for next-generation consumer and enterprise products
Required qualifications:
- BS/MS/PhD in Computer Science or related field
- 5+ years of industry software development experience
- Proficiency with bash/Python scripting in Linux environments
- Professional experience with Docker and Infrastructure-as-Code (IaC) concepts
- Experience with at least one major cloud provider (GCP preferred)
- Strong communication skills, written and verbal
- Ability to manage multiple tasks and adapt to changing priorities
Preferred experience includes web crawlers and large-scale data processing workflows. The role offers a fast-growing environment, entrepreneurial team culture, hands-off management, competitive salaries, and the opportunity to impact a product used by millions, including those with learning differences like dyslexia, ADD, low vision, and autism.
