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Software Engineer, Data Infrastructure & Acquisition - Burlington, VT, USA

Speechify - Remote - Remote - posted 2023-12-04

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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 nearly 200 employees distributed globally and no physical office, Speechify combines talent from major tech companies (Amazon, Microsoft, Google), leading research institutions (Stanford), and successful startups (Stripe, Vercel, Bolt). This role joins 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 include: sourcing new audio data and integrating it into the ingestion pipeline; operating and extending cloud infrastructure for the ingestion pipeline on GCP using Terraform; collaborating with research scientists to optimize the cost/throughput/quality frontier; and working with the AI team and leadership to develop the dataset roadmap for next-generation consumer and enterprise products. Ideal candidates have a BS/MS/PhD in Computer Science or related field with 5+ years of industry software development experience. Required skills include bash/Python scripting in Linux environments, Docker, Infrastructure-as-Code concepts, and professional experience with a major cloud provider (GCP preferred). Experience with web crawlers and large-scale data processing workflows is a plus. The role requires strong communication skills, ability to handle multiple tasks, and adaptability to changing priorities. Compensation includes competitive base salary, bonus, and equity. The company emphasizes a fast-growing, entrepreneurial environment with hands-off management, asynchronous culture, and the opportunity to impact millions of users with accessibility-focused technology.

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