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Software Engineer, Data Infrastructure & Acquisition - Toronto, Canada

Speechify - Remote - Remote - posted 2025-12-05

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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 operates as a fully remote organization. You'll 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 include: - Sourcing new audio data and integrating it into the ingestion pipeline - Operating and extending cloud infrastructure for the ingestion pipeline on GCP, managed with Terraform - Collaborating with research scientists to optimize the cost/throughput/quality frontier, delivering richer datasets at larger scale and lower cost - Working with the AI team and leadership to define the dataset roadmap for next-generation consumer and enterprise products Ideal candidates have a BS/MS/PhD in Computer Science or related field, 5+ years of industry software development experience, proficiency with bash/Python in Linux environments, and hands-on experience with Docker and Infrastructure-as-Code. Experience with web crawlers and large-scale data processing workflows is a plus. You should be comfortable handling multiple tasks, adapting to changing priorities, and communicating effectively both written and verbally. Speechify offers a fast-growing, entrepreneurial environment with a hands-off management approach, competitive salaries, and the opportunity to impact a transformative product used by millions, including people with learning differences like dyslexia, ADD, low vision, and autism.

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