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Join Speechify's AI team to build petabyte-scale data pipelines powering text-to-speech model training: discover audio data sources, build large-scale processing systems optimized for quality, throughput, and cost, and collaborate with AI scientists. Backend-heavy Python/Bash work on Linux, remote from Croatia.
Software engineer on Speechify's AI team building petabyte-scale audio data pipelines that power model training: discovering new audio data sources and building large-scale, cost-efficient data-processing systems in Python and Bash. Remote role for Slovenia-based candidates; needs 5+ years of backend engineering experience.
Builds the data pipelines behind Speechify's AI text-to-speech models: sourcing audio data, operating petabyte-scale data-processing systems, and collaborating with AI scientists. Requires 5+ years backend engineering with Python and Bash on Linux. Remote within Greece (Athens); $30k-55k/year USD plus bonus and stock.
Builds the data pipelines behind Speechify's AI text-to-speech models: discovering audio data sources and running large-scale, cost-efficient data-processing systems in collaboration with AI scientists. Backend-heavy Python/Bash work on Linux, with GCP/Terraform a plus. Remote role based in Greece; $30k-55k + bonus + stock.
Builds and operates large-scale data pipelines that feed Speechify's AI model training: discovering new audio data sources and optimizing data-processing systems for quality, throughput, and cost. Backend-heavy engineering in Python/Bash on Linux, collaborating closely with AI scientists.
Remote software engineer (Kochi, India) joining Speechify's AI 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 collaborating with AI scientists.
Software engineer on Speechify's AI team, building and scaling data pipelines and large-scale data-processing systems that source and prepare petabyte-scale audio datasets for model training. Core work is backend engineering with Python and Bash on Linux, collaborating with AI scientists.
Software Engineer on Speechify's AI team building the data pipelines behind its text-to-speech model training: discovering new audio data sources and running large-scale, cost-efficient data-processing systems in Python/Bash on Linux. Remote role for Poland-based candidates (Gdańsk), with GCP/Terraform and audio/ML-data work as pluses.
Speechify is hiring a remote (Poland-based) software engineer to join its AI team, building petabyte-scale data pipelines that source and process audio for training its text-to-speech models. Day-to-day work centers on large-scale data processing with Python and Bash on Linux, with GCP/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 data-processing systems for quality, throughput, and cost. Core stack: Python and Bash on Linux, with GCP and Terraform as a plus.
Software engineer on Speechify's AI team building the petabyte-scale data pipelines behind model training: discovering new audio data sources, building large-scale cost-efficient processing systems, and collaborating with AI scientists. Backend work in Python/Bash on Linux; remote role based in Slovakia (Košice).
Backend software engineer building Speechify's AI data pipelines: discovering new audio data sources and running large-scale, low-cost data-processing systems that power text-to-speech model training. Python/Bash on Linux, 5+ years' experience; fully remote role at a ~200-person distributed company, US salary $140k-$200k plus bonus and equity.
Hands-on lead product designer at Arca, an AI-first wealth management firm, setting the design vision and visual language for both the advisor platform and the client experience — including agentic and generative UI. You'll design, prototype, and ship directly with the founder and engineers, fully in-office in NYC (Flatiron).
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