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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 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 brings together talent from major tech companies (Amazon, Microsoft, Google), leading PhD programs (Stanford), and high-growth startups (Stripe, Vercel, Bolt).
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 pipelines to integrate them into training datasets, and creating large-scale data-processing systems optimized 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 problem discovery through implementation and continuous improvement.
Key responsibilities include discovering and sourcing new audio data, building and improving large-scale data-processing systems, collaborating with AI Scientists on dataset improvements, and owning engineering projects end-to-end. The role emphasizes solving complex problems, exploring new data sources, and making AI training more efficient and scalable.
Speechify offers a dynamic environment where contributions directly shape the company and its products, a team that values innovation and drive, autonomy to foster focus and creativity, and the opportunity to work on a product that changes lives—particularly for people with learning differences like dyslexia and ADD. The company is committed to an exceptional asynchronous work culture and competitive compensation.
**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
