SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
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 was recently named Chrome Extension of the Year by Google and received Apple's 2025 Design Award for Inclusivity. With nearly 200 employees distributed globally and no physical office, Speechify combines 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 optimizing large-scale data-processing systems for quality, throughput, and cost. You will 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 new sources of audio data and building reliable pipelines; building and improving large-scale data-processing systems optimized for data quality, throughput, and cost; collaborating with AI Scientists to improve training datasets; and taking end-to-end ownership of engineering projects.
The company emphasizes a dynamic environment where contributions shape the product, values innovation and drive, provides autonomy to foster focus and creativity, and offers the opportunity to work on a product that changes lives for people with learning differences like dyslexia and ADD. The role sits at the intersection of artificial intelligence and audio in a rapidly evolving tech 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
