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Salary: USD 30,000 - 110,000 / 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 has been recognized by Google as Chrome Extension of the Year and by Apple as a 2025 Design Award winner for Inclusivity. With nearly 200 employees distributed globally and no physical office, Speechify builds products that remove reading as a barrier to learning, particularly benefiting people with dyslexia, ADD, and other learning differences.
You will join Speechify's AI team to build the data pipelines that power model training and next-generation AI products. The role focuses on discovering new audio data sources, building reliable ingestion pipelines, and optimizing large-scale data-processing systems for quality, throughput, and cost. You'll work closely with AI Scientists to improve training datasets and support the development of next-generation models, taking ownership of engineering projects from discovery through implementation and continuous improvement.
Key responsibilities include: discovering and integrating new audio data sources into training datasets; building and improving large-scale data-processing systems; collaborating with AI Scientists on dataset improvements; and owning projects end-to-end in a fully distributed environment.
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
