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Salary: USD 140,000 - 200,000 / 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 powered by high-quality datasets at petabyte scale.
You will join Speechify's 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 combines engineering, infrastructure, and research to create high-quality datasets efficiently and at scale.
Key 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 development of next-generation models
- Taking ownership of engineering projects from problem discovery through implementation and continuous improvement
The team values innovation, intuition, and drive, with an emphasis on autonomy and asynchronous work culture. You'll work at the intersection of artificial intelligence and audio technology in a rapidly evolving domain, contributing to a product that changes lives 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
