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Salary: USD 30,000 - 80,000 / annual
Speechify is a rapidly growing AI-powered text-to-speech platform used by over 50 million people globally to convert PDFs, books, documents, and web content into audio. The company has been recognized by Google (Chrome Extension of the Year) and Apple (2025 Design Award for Inclusivity) and operates as a fully distributed team of ~200 people across the globe.
You'll join the Data side of Speechify's AI team, responsible for building and operating the infrastructure that powers large-scale, high-quality dataset collection for model training. This is a hands-on engineering role focused on data acquisition pipelines that support next-generation text-to-speech models.
Key responsibilities include:
- Identifying and integrating new audio data sources into the ingestion pipeline
- Operating and extending cloud infrastructure (GCP, Terraform) for data collection at petabyte scale
- Collaborating with AI researchers to optimize the cost/throughput/quality tradeoff in data collection
- Contributing to the AI team's dataset roadmap to power consumer and enterprise products
You should have 5+ years of software development experience, strong proficiency in Python/bash scripting, hands-on experience with Docker and Infrastructure-as-Code, and familiarity with at least one major cloud provider (GCP preferred). Experience with web crawlers and large-scale data processing workflows is a plus. The ideal candidate holds a BS/MS/PhD in Computer Science or related field and can adapt to changing priorities while communicating effectively across technical and non-technical stakeholders.
Speechify offers a fast-growing, entrepreneurial environment with a hands-off management approach, competitive compensation, and the opportunity to impact a transformative product used by millions, including people with learning differences like dyslexia, ADD, low vision, and autism.
