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Build and scale Speechify’s data ingestion pipeline to collect petabyte-scale audio datasets for AI model training, using GCP, Terraform, and Python on a fully distributed team.
Builds and scales Speechify’s petabyte-scale data pipelines for AI model training, integrating web crawlers, cloud infrastructure, and GCP/Terraform to ingest audio and text sources.
Builds and scales Speechify’s petabyte-scale audio data pipeline on GCP, sourcing and ingesting text-to-speech training data while collaborating with AI researchers to improve model performance.
Builds and scales Speechify’s petabyte-scale data pipelines for AI model training, integrating web crawlers, cloud infrastructure on GCP, and Python tooling to acquire and process audio/text data.
Build and scale data pipelines to collect and process petabyte-scale audio datasets for AI model training, using GCP, Terraform, and Python on a fully remote team.
Builds and scales cloud infrastructure to collect and process petabyte-scale audio data for training AI text-to-speech models, using GCP, Terraform, and Python.
Build and scale Speechify’s data ingestion pipeline to collect and process audio/text datasets for AI model training, using GCP, Terraform, and Python.
Builds and scales data pipelines to collect and process petabyte-scale audio datasets for AI model training, using GCP, Terraform, and Python on Speechify’s text-to-speech platform.
Builds and scales data pipelines to collect and process petabyte-scale audio datasets for AI model training, using GCP, Terraform, and Python on a distributed team.
Build and scale Speechify’s data ingestion pipeline to collect petabyte-scale audio datasets for AI model training, using GCP, Terraform, and Python.
Builds and scales Speechify’s petabyte-scale data pipelines for AI model training, integrating web crawlers, cloud infrastructure on GCP, and Python/Bash tooling.
Builds and scales Speechify’s petabyte-scale data pipelines for AI model training, integrating cloud infrastructure, web crawlers, and Python tooling on GCP.
Build and scale Speechify’s petabyte-scale data pipeline for AI model training, integrating cloud infrastructure, web crawlers, and ingestion systems on GCP.
Builds and scales cloud infrastructure to collect and process petabyte-scale audio/text datasets for training Speechify’s AI models, using GCP, Terraform, and Python.
Build and scale Speechify’s data ingestion pipeline to collect petabyte-scale audio datasets for AI model training, using GCP, Terraform, and Python on Linux.
Builds and scales data pipelines to collect and process petabyte-scale audio datasets for AI model training at a fast-growing text-to-speech company.
Builds and scales cloud infrastructure to collect and process petabyte-scale audio datasets for training AI text-to-speech models, using GCP, Terraform, and Python.
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