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Speechify is expanding its AI Data team and seeks a Software Engineer - AI Data to build scalable data pipelines powering model training and next-gen AI products. You will design and operate large-scale data systems, collaborating with AI scientists to enhance training datasets and model quality.
Ideal candidates bring 5+ years in backend software engineering, strong Python/Bash skills, and experience with data pipelines, cloud infrastructure (GCP), and IaC tools like Terraform.
Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. We're looking for a Software Engineer - AI Data to join Speechify's AI team and build the data pipelines that power our model training and next-generation AI products. We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable.
Discover new sources of audio data and build reliable pipelines to bring them into our training datasets. Build and improve large-scale data-processing systems, optimizing for data quality, throughput, and cost. Collaborate closely with AI Scientists to improve training datasets and support the development of next-generation models. Take ownership of engineering projects from problem discovery through implementation and continuous improvement.
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.