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Salary: USD 30,000 - 110,000 / annual
Speechify is a rapidly growing text-to-speech platform used by over 50 million people to convert PDFs, books, Google Docs, news articles, and websites into audio. The company has won recognition from Google (Chrome Extension of the Year) and Apple (2025 Design Award for Inclusivity) and operates as a fully distributed team of ~200 people globally, including engineers from Amazon, Microsoft, Google, and Stanford PhD researchers.
You will join 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 and low cost through tight integration of infrastructure, engineering, and research.
Key responsibilities:
- Source new audio data and integrate it into the ingestion pipeline
- Operate and extend cloud infrastructure for data ingestion, currently running on GCP and managed with Terraform
- Collaborate with AI scientists to optimize the cost/throughput/quality frontier, delivering richer datasets at scale and lower cost
- Work with the AI team and leadership to shape 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)
- Experience with web crawlers and large-scale data processing workflows is a plus
- Strong ability to multitask, adapt to changing priorities, and communicate effectively
The role offers competitive compensation, stock options, a hands-off management approach, and the opportunity to impact a transformative product used by millions, including people with learning differences like dyslexia, ADD, low vision, and autism.
