Key skills
PythonGCPDockerBash scriptingInfrastructure-as-CodeData processing workflowscommunication skillsAdaptabilityBashAITerraformLeadershipCommunication
About this role
Speechify is dedicated to ensuring that reading is never a barrier to learning, with over 50 million users benefiting from their text-to-speech products. The Software Engineer role focuses on data collection and infrastructure to support model training operations, collaborating with scientists to enhance data quality and scalability.
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
Requirements:
- BS/MS/PhD in Computer Science or a related field
- 5+ years of industry experience in software development
- 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)
- Ability to handle multiple tasks and adapt to changing priorities
- Strong communication skills, both written and verbal
- Experience with web crawlers, large-scale data processing workflows is a plus