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Software engineer on Speechify's AI team building the data pipelines behind model training: sourcing new audio data, running petabyte-scale data-processing systems optimized for quality, throughput, and cost, and collaborating with AI scientists. Core stack is Python and Bash on Linux, with GCP/Terraform preferred.
Speechify is hiring a remote (Spain-based) software engineer to join its AI team, building data pipelines that discover, acquire, and process petabyte-scale audio data for training text-to-speech models. Day-to-day is Python/Bash backend work on large-scale data processing in GCP, collaborating with AI scientists.
Software Engineer on Speechify's AI team builds petabyte-scale data pipelines for training its text-to-speech models: discovering audio data sources and operating large-scale, cost-efficient processing systems alongside AI scientists. Core stack is Python and Bash on Linux, with GCP and Terraform as a plus.
Software engineer on Speechify's AI team building the data pipelines that power text-to-speech model training: discovering new audio data sources, building petabyte-scale processing systems optimized for quality, throughput, and cost, and collaborating with AI scientists. Stack centers on Python, Bash, Linux, and GCP/Terraform. Remote, based in Spain.
Software engineer on Speechify's AI team building the data pipelines behind its text-to-speech model training: discovering new audio data sources and building large-scale, cost-efficient data-processing systems. Backend-focused work in Python and Bash on Linux, collaborating with AI scientists. Remote role based in Portugal.
Software engineer on Speechify's AI team building data pipelines that discover, acquire, and process petabyte-scale audio data for model training. Core work is large-scale backend systems in Python and Bash on Linux, with GCP/Terraform and audio processing as pluses. Remote role based in Coimbra, Portugal.
Remote (Italy-based) engineer on Speechify's AI team building petabyte-scale audio data pipelines that power training of its text-to-speech models. Day-to-day is backend work in Python and Bash on Linux, sourcing data and optimizing large-scale processing for quality, throughput, and cost; GCP and Terraform are pluses.
Speechify is hiring a remote (Italy-based) software engineer for its AI team to build petabyte-scale data pipelines that source and process audio data for training its text-to-speech models. Day-to-day is backend engineering in Python/Bash on Linux, optimizing large-scale data processing for quality, throughput, and cost.
Builds the data pipelines and large-scale data-processing systems that source and prepare petabyte-scale audio datasets for Speechify's AI model training. Remote backend engineering role (Sweden-based salary band) centered on Python/Bash on Linux, with GCP/Terraform as a plus.
Software engineer on Speechify's AI team who discovers audio data sources and builds large-scale, cost-efficient data pipelines and processing systems that feed training datasets for next-gen text-to-speech models. Remote role (Denmark-based salary) centered on Python and Bash on Linux, with GCP/Terraform a plus.
Speechify, maker of AI text-to-speech reading apps, seeks a Software Engineer, AI Data (remote, Finland-based) to build petabyte-scale audio data pipelines for model training. Day to day: sourcing audio data, building large-scale Python/Bash processing systems, and collaborating with AI scientists. Salary $30k–$100k USD plus bonus and stock.
Builds petabyte-scale data pipelines that power Speechify's text-to-speech AI model training: discovering new audio data sources, optimizing large-scale data processing for quality, throughput, and cost, and partnering with AI scientists. Backend-heavy engineering in Python and Bash on Linux; fully remote role with a Latvia-based salary.
Builds and operates the petabyte-scale data pipelines and processing systems that feed Speechify's text-to-speech model training — discovering new audio data sources, optimizing for quality, throughput, and cost, and collaborating with AI scientists. Backend-heavy Python/Bash-on-Linux work with GCP/Terraform; remote role based in Lithuania.
Speechify is hiring a remote (Lithuania-based) software engineer to build the petabyte-scale data pipelines that feed its AI model training for text-to-speech products. The work centers on sourcing audio data, building large-scale data-processing systems in Python/Bash on Linux, and collaborating with AI scientists.
Software Engineer on Speechify's AI team builds the data pipelines behind its text-to-speech products: sourcing audio data, running petabyte-scale data-processing systems optimized for quality, throughput, and cost, and supporting AI researchers. Remote, Czech Republic-based role requiring 5+ years backend engineering with Python and Bash.
Joins Speechify's AI team to build the data pipelines powering text-to-speech model training: discovering new audio data sources and building large-scale, cost-efficient data-processing systems. Backend-heavy Python/Bash work on Linux, collaborating with AI scientists; remote role based in Romania.
Builds and runs the large-scale data pipelines that feed Speechify's text-to-speech model training: discovering new audio data sources and optimizing petabyte-scale data processing for quality, throughput, and cost. Core work is backend engineering in Python and Bash on Linux, with GCP and Terraform as nice-to-haves.
Software engineer on Speechify's AI team building petabyte-scale data pipelines that power text-to-speech model training — discovering new audio data sources and optimizing large-scale processing for quality, throughput, and cost. Core stack: Python and Bash on Linux, with GCP/Terraform experience preferred.
Builds and operates the large-scale data pipelines and processing systems that supply training data for Speechify's AI text-to-speech models — discovering new audio data sources and optimizing for quality, throughput, and cost. Core stack: Python, Bash on Linux, plus GCP/Terraform.
Speechify is hiring a Croatia-based (remote) Software Engineer for its AI Data team to build petabyte-scale audio data pipelines that power text-to-speech model training. Day-to-day work centers on Python and Bash in Linux, large-scale data processing, and optionally GCP/Terraform; 5+ years of backend engineering experience is required.
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