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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 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.
You will join the Data side of the 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. This is a hands-on engineering role with significant impact on Speechify's next-generation AI models.
Key responsibilities include: sourcing new audio data and integrating it into the ingestion pipeline; operating and extending cloud infrastructure (GCP, Terraform) for data ingestion; collaborating with research scientists to optimize the cost/throughput/quality frontier; and working with leadership to shape the AI team's dataset roadmap for consumer and enterprise products.
You should have 5+ years of software development experience, strong proficiency in Python/bash scripting in Linux environments, hands-on experience with Docker and Infrastructure-as-Code, and professional experience with a 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, demonstrates strong communication skills, and can adapt to changing priorities in a fast-moving environment.
This is a full-time position offering competitive salary ($140,000–$200,000 base), bonus, and equity. The role emphasizes impact: building products that support millions of users, particularly those with learning differences like dyslexia, ADD, low vision, and autism.
