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Software engineer on Speechify's AI team building the data pipelines and large-scale (petabyte) audio-data processing systems that feed its text-to-speech model training — sourcing new audio data and optimizing for quality, throughput, and cost. Core stack is Python, Bash, and Linux; GCP and Terraform are pluses.
Build the petabyte-scale data pipelines behind Speechify's AI text-to-speech models: discover new audio data sources, engineer large-scale data-processing systems optimized for quality, throughput, and cost, and collaborate with AI scientists. Backend-heavy Python/Bash work on a fully distributed remote team.
Software Engineer on Speechify's AI team builds the data pipelines powering text-to-speech model training — discovering audio data sources, running petabyte-scale data processing in Python/Bash, and collaborating with AI scientists. Fully remote, US base salary $140k–$200k plus bonus and equity.
Software Engineer on Speechify's AI team building petabyte-scale data pipelines for model training: sourcing new audio data, building large-scale data-processing systems optimized for quality, throughput, and cost, and partnering with AI scientists. Requires 5+ years backend engineering with Python/Bash on Linux. Remote (US), $140k-$200k base plus bonus and equity.
Software engineer on Speechify's AI team building petabyte-scale data pipelines for AI model training: discovering new audio data sources, building large-scale Python/Bash processing systems optimized for quality and cost, and partnering with AI scientists. 100% remote US role.
Software engineer on Speechify's AI team building petabyte-scale data pipelines and data-processing systems that create high-quality, low-cost training datasets for its text-to-speech models. Day-to-day: sourcing audio data, scaling pipelines, and partnering with AI scientists. Core stack: Python, Bash/Linux, cloud infra (GCP, Terraform).
Builds the petabyte-scale data pipelines behind Speechify's AI model training: discovering audio data sources, operating large-scale data-processing systems in Python/Bash on Linux, and optimizing for quality, throughput, and cost, with GCP/Terraform as nice-to-haves. Fully remote, US-based role on the AI team.
Joins Speechify's AI team to build the data pipelines behind its text-to-speech model training: discovering new audio data sources and running large-scale, cost-efficient data-processing systems alongside AI scientists. Core stack is Python and Bash on Linux, with GCP and Terraform for cloud infra; fully remote within the US.
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, with GCP/Terraform as a plus. Fully remote (US-based compensation range), $140k-$200k plus bonus and equity.
Speechify is hiring a remote (US-based) software engineer to build the AI data pipelines behind its text-to-speech products — discovering new audio data sources and running large-scale, cost-efficient data processing in Python/Bash, collaborating with AI scientists on training datasets.
Software engineer on Speechify's AI team building petabyte-scale data pipelines that discover and process audio data for model training. Requires 5+ years of backend software engineering experience, strong Python and Bash skills in Linux, and experience running production data systems.
Software engineer on Speechify's AI team building data pipelines and large-scale data-processing systems that supply training datasets (including audio) for its text-to-speech models. Backend-heavy Python/Linux work at petabyte scale, collaborating with AI scientists. Remote role tied to the US.
Remote (US) software engineer on Speechify's AI team building the data pipelines that power text-to-speech model training — discovering audio data sources and running large-scale, cost-efficient data processing systems. Requires 5+ years backend experience, strong Python/Bash on Linux; pays $140k-$200k plus bonus and equity.
Joins Speechify's AI team to build petabyte-scale data pipelines and large-scale data-processing systems that feed model training for its text-to-speech products. Day-to-day is backend engineering in Python and Bash on Linux, optimizing data quality, throughput, and cost, with GCP/Terraform and audio/ML data work as pluses.
Software engineer on Speechify's AI team building petabyte-scale data pipelines that power TTS model training: discovering audio data sources, building large-scale data-processing systems optimized for quality, throughput, and cost, and collaborating with AI scientists. Core stack: Python, Bash, Linux; GCP/Terraform a plus.
Software engineer on Speechify's AI team building petabyte-scale data pipelines that feed model training for its text-to-speech products. Day to day: discovering audio data sources, building large-scale, cost-efficient data-processing systems (Python/Bash on Linux), and collaborating with AI scientists. Remote, US-based, $140k-$200k base plus bonus and equity.
Software engineer on Speechify's AI team building petabyte-scale data pipelines and large-scale data-processing systems that feed TTS model training, collaborating with AI scientists. Requires 5+ years backend experience with strong Python and Bash on Linux; GCP and Terraform are a plus.
Remote (US) software engineer on Speechify's AI team, building petabyte-scale data pipelines and infrastructure that feed the training of its text-to-speech models. Day-to-day is backend/data engineering in Python and Bash on Linux, with GCP and Terraform experience a plus.
Build and scale the data pipelines behind Speechify's AI text-to-speech models: discover new audio data sources, operate petabyte-scale, low-cost data-processing systems, and partner with AI scientists to improve training datasets. Backend-heavy Python/Bash engineering on a fully remote US team.
Builds the data pipelines and petabyte-scale audio datasets that power Speechify's AI text-to-speech model training — discovering new audio data sources, optimizing large-scale data processing for quality, throughput, and cost, and collaborating with AI scientists. Core stack: Python, Bash/Linux, cloud infra (GCP, Terraform). Fully remote, US-based role.
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