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Speechify is hiring a Software Engineer to join the Data side of its AI team. The role is responsible for all aspects of data collection to support model training operations, with a focus on building high-quality datasets at petabyte-scale and low cost.
Key responsibilities include:
- Sourcing new audio data and integrating it into the ingestion pipeline
- Operating and extending cloud infrastructure for the ingestion pipeline on GCP, managed with Terraform
- Collaborating with research scientists to optimize the cost/throughput/quality frontier, delivering richer data at scale and lower cost
- Working with the AI team and leadership to shape the dataset roadmap for next-generation consumer and enterprise products
Ideal candidates have:
- BS/MS/PhD in Computer Science or related field
- 5+ years of industry software development experience
- Proficiency with bash/Python scripting in Linux environments
- Professional experience with Docker and Infrastructure-as-Code concepts, particularly with major cloud providers (GCP preferred)
- Experience with web crawlers and large-scale data processing workflows (a plus)
- Ability to manage multiple tasks and adapt to changing priorities
- Strong written and verbal communication skills
Speechify is a 100% distributed company with ~200 employees globally. The company's mission is to make reading never a barrier to learning. Over 50 million people use Speechify's text-to-speech products across iOS, Android, Mac, Chrome Extension, and Web platforms. Google named Speechify Chrome Extension of the Year, and Apple awarded it the 2025 Design Award for Inclusivity. The team includes engineers from Amazon, Microsoft, Google, Stanford PhD programs, and high-growth startups like Stripe, Vercel, and Bolt.
