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Build and scale Speechify’s data ingestion pipeline to collect petabyte-scale audio/text datasets for training next-gen text-to-speech models using GCP, Terraform, and Python.
Build and scale Speechify’s data ingestion pipeline to collect petabyte-scale audio/text datasets for AI model training, using GCP, Terraform, and Python.
Build and scale data pipelines to collect and process petabyte-scale audio datasets for Speechify’s AI text-to-speech models, using GCP, Terraform, and Python.
Build and scale data pipelines to collect and process petabyte-scale audio datasets for AI model training, using GCP, Terraform, and Python.
Build and scale data pipelines to collect and process petabyte-scale audio datasets for training AI text-to-speech models using GCP, Terraform, and Python.
Build and scale Speechify’s data ingestion pipeline to collect petabyte-scale audio/text datasets for training AI text-to-speech models using GCP, Terraform, and Python.
Build and scale Speechify’s data infrastructure to collect and process petabyte-scale audio datasets for training AI text-to-speech 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.
Build and scale Speechify’s data pipeline to collect and process petabyte-scale audio/text datasets for AI model training, using GCP, Terraform, and Python.
Build and scale Speechify’s petabyte-scale audio data pipeline, integrating web crawlers and GCP infrastructure to feed AI model training for text-to-speech products.
Build and scale Speechify’s data pipeline to collect and process petabyte-scale audio/text datasets for training AI text-to-speech models using GCP, Terraform, and Python.
Application Security Engineer at Starburst Data in Warsaw (hybrid, 1-2 days onsite) working to embed security into the SDLC: maintaining SAST/DAST/SCA and secrets-scanning tooling, doing secure code reviews and threat modeling, building security automation, and supporting incident response alongside engineering teams.
Build and scale data pipelines to collect and process petabyte-scale audio datasets for training Speechify’s text-to-speech AI models, using GCP, Terraform, and Python.
Build and maintain Speechify’s backend services (payments, subscriptions, TTS APIs) using Node/TS on GCP, collaborating with AI teams to scale a text-to-speech platform used by 50M+ people.
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