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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, 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. Speechify operates as a fully distributed, 100% remote company with ~200 employees globally, including engineers from Amazon, Microsoft, Google, Stanford PhD programs, and high-growth startups like Stripe and Vercel.
You will join the AI team to build data pipelines that power model training and next-generation AI products. The role focuses on discovering new audio data sources, constructing reliable ingestion pipelines, 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 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 engineering projects end-to-end.
The company emphasizes a dynamic environment where contributions shape products, values innovation and drive, offers autonomy to foster focus and creativity, and operates with an exceptional asynchronous work culture. The role sits at the intersection of AI and audio technology, a rapidly evolving domain.
**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
