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Speechify is a text-to-speech platform used by over 50 million people to convert PDFs, books, Google Docs, articles, and websites into audio. The company recently won Chrome Extension of the Year (Google) and the 2025 Design Award for Inclusivity (Apple). With ~200 employees globally in a fully distributed setting, Speechify is building next-generation AI products powered by high-quality datasets at petabyte scale.
You will join the AI team as a Software Engineer focused on data infrastructure. Your responsibilities include:
- Discovering new sources of audio data and building reliable pipelines to integrate 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 enhance training datasets and support next-generation model development
- Taking ownership of engineering projects from problem discovery through implementation and continuous improvement
This role sits at the intersection of software engineering and machine learning infrastructure, requiring someone who can design scalable systems that enable AI training at scale.
**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 (GCP, Terraform)
- Familiarity with ML training data, dataset quality, or audio processing
