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Software Engineer, AI Data - Reading, United Kingdom

Speechify - Remote - Remote - posted 2026-10-20

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Speechify is a text-to-speech platform used by over 50 million people to convert PDFs, books, Google Docs, news articles, and websites into audio. The company has ~200 employees globally in a fully distributed setting, with team members from Amazon, Microsoft, Google, Stanford, and other leading organizations. You'll join the AI team as a Software Engineer focused on AI Data, responsible for building the data pipelines that power model training and next-generation AI products. The role involves discovering new audio data sources, building reliable pipelines to integrate them into training datasets, and optimizing large-scale data-processing systems for quality, throughput, and cost. You'll collaborate closely with AI Scientists to improve training datasets and support the development of next-generation models, taking ownership of engineering projects from problem discovery through implementation and continuous improvement. Key responsibilities include: - Discovering new sources of audio data and building reliable pipelines to bring them into training datasets - Building and improving large-scale data-processing systems, optimizing for data quality, throughput, and cost - Collaborating closely with AI Scientists to improve training datasets and support next-generation model development - Taking ownership of engineering projects from problem discovery through implementation and continuous improvement The company emphasizes a dynamic, innovative environment with autonomy, asynchronous work culture, and the opportunity to work on products that change lives, particularly for those with learning differences like dyslexia and ADD. REQUIREMENTS: - Bachelor's degree in Computer Science or related field, or equivalent practical experience - 5+ years of professional software engineering experience with strong backend development fundamentals - Proficiency in Python and Bash in Linux environments - Experience building and operating production systems, ideally involving data pipelines or large-scale data processing - Strong problem-solving skills, initiative, and ability to work independently in ambiguous environments NICE TO HAVE: - Experience with web crawlers, data acquisition, or distributed data-processing systems - Experience with cloud infrastructure and Infrastructure as Code, particularly GCP and Terraform - Familiarity with ML training data, dataset quality, or audio processing

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