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Salary: USD 140,000 - 200,000 / annual
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 combines engineering, AI research, and product development to serve users with learning differences including dyslexia, ADD, low vision, and autism.
This role is part of Speechify's AI team, specifically focused on the data infrastructure side. You will own all aspects of data collection to support model training operations, building high-quality datasets at petabyte scale while optimizing for cost efficiency. The position requires close collaboration between infrastructure, engineering, and research teams.
Key responsibilities include: sourcing new audio data and integrating it into ingestion pipelines; operating and extending cloud infrastructure on GCP using Terraform; collaborating with research scientists to optimize the cost/throughput/quality frontier; and working with AI leadership to define the dataset roadmap for next-generation consumer and enterprise products.
You should have a BS/MS/PhD in Computer Science or related field with 5+ years of industry software development experience. Required skills include proficiency with bash/Python scripting in Linux, Docker, Infrastructure-as-Code, and hands-on experience 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 is scrappy, adaptable to changing priorities, and communicates effectively both written and verbally.
Speechy operates with a hands-off management approach, entrepreneurial culture that supports risk-taking and hustle, and commitment to asynchronous work. You'll have the opportunity to directly impact millions of users and shape a transformative product at the intersection of AI and audio.
