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Salary: USD 30,000 - 80,000 / annual
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 recently won Chrome Extension of the Year from Google and Apple's 2025 Design Award for Inclusivity. With ~200 employees globally in a fully distributed setting, Speechify is building next-generation AI products for accessibility.
You will 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 model development, taking ownership of engineering projects from discovery through implementation and continuous improvement.
Key responsibilities:
- Discover new sources of audio data and build reliable pipelines to bring them into training datasets
- Build and improve large-scale data-processing systems, optimizing for data quality, throughput, and cost
- Collaborate with AI Scientists to improve training datasets and support next-generation model development
- Take ownership of engineering projects from problem discovery through implementation and continuous improvement
The company emphasizes a dynamic environment with autonomy, innovation, and asynchronous work culture. You'll work on a product that directly impacts accessibility for people 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
