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Software Engineer, Data Infrastructure & Acquisition - Vienna, Austria

Speechify - Remote - Remote - posted 2026-08-03

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Salary: USD 30,000 - 100,000 / 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 has been recognized by Google as Chrome Extension of the Year and by Apple as a 2025 Design Award winner for Inclusivity. Speechify operates as a fully distributed, 100% remote company with nearly 200 employees worldwide, including engineers from Amazon, Microsoft, Google, and Stanford. You will join the Data side of Speechify's AI team, responsible for all aspects of data collection to support model training operations. The role focuses on building 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 data at larger scale and lower cost - Working with the AI team and leadership to develop the dataset roadmap for next-generation consumer and enterprise products Required qualifications: - BS/MS/PhD in Computer Science or related field - 5+ years of industry software development experience - Proficiency with bash/Python scripting in Linux environments - Professional experience with Docker and Infrastructure-as-Code concepts - Experience with at least one major cloud provider (GCP preferred) - Strong communication skills, both written and verbal - Ability to manage multiple tasks and adapt to changing priorities Desirable experience includes web crawlers and large-scale data processing workflows. The company offers competitive salaries, stock options, a hands-off management approach, and the opportunity to work on products that directly impact people with learning differences including dyslexia, ADD, low vision, and autism.

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