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Software Engineer, Data Infrastructure & Acquisition - Santa Clara, CA, 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 ~200 employees distributed globally and no physical office, Speechify combines engineering, AI research, and product development to serve users with learning differences and accessibility needs. 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 through tight integration of infrastructure, engineering, and research. This is a hands-on role where you'll be scrappy in sourcing new audio data and bringing it into production pipelines. Key responsibilities include: sourcing and integrating new audio data sources into the ingestion pipeline; operating and extending cloud infrastructure (GCP, Terraform) for data pipelines; collaborating with research scientists to optimize the cost/throughput/quality frontier; and working with leadership to shape the AI team's dataset roadmap for next-generation consumer and enterprise products. You should have a BS/MS/PhD in Computer Science or related field with 5+ years of industry software development experience. Required skills: bash/Python scripting in Linux, Docker, Infrastructure-as-Code, and hands-on experience with at least one major cloud provider (GCP preferred). Experience with web crawlers and large-scale data processing workflows is a plus. You'll need strong communication skills, adaptability, and the ability to juggle multiple priorities in a fast-moving environment. Speechy offers competitive salaries, equity, and a laid-back, asynchronous culture with hands-off management. You'll work on a product that directly impacts millions of people, particularly those with dyslexia, ADD, low vision, concussions, autism, and other learning differences.

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