Speechify aims to solve the problem of reading being a barrier to learning by providing text-to-speech products that help users read faster, more, and remember more. The company is looking for a Software Engineer to join their Data side of the AI team to build high-quality datasets at petabyte-scale and low cost to support model training operations for next-generation AI models.
Requirements
- Proficiency with bash/Python scripting in Linux environments
- Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
- Experience with web crawlers, large-scale data processing workflows is a plus
Responsibilities
- Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
- Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
- Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.
Other
- 5+ years of industry experience in software development.
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong communication skills, both written and verbal.
- BS/MS/PhD in Computer Science or a related field.