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Software Engineer on Speechify's AI team building petabyte-scale audio data pipelines that power text-to-speech model training. Remote US role needing 5+ years of backend experience with Python and Bash on Linux; GCP/Terraform and audio/ML-data experience a plus.
Software Engineer on Speechify's AI team building petabyte-scale data pipelines that source audio data and support training of next-generation text-to-speech models. Day-to-day is backend engineering in Python and Bash on Linux, operating large-scale data-processing systems, with GCP/Terraform experience a plus. Remote (US-based) role.
Software Engineer on Speechify's AI team builds large-scale audio data pipelines that power text-to-speech model training — discovering new data sources and optimizing processing systems for quality, throughput, and cost, using Python, Bash/Linux and cloud infra, in close collaboration with AI scientists. Remote role (US).
Software Engineer on Speechify's AI team building petabyte-scale data pipelines that power training of its text-to-speech models: discovering audio data sources and building large-scale, cost-efficient data-processing systems in Python and Bash on Linux. Fully remote role (US base salary range) with bonus and equity.
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 (petabyte) data-processing systems optimized for quality, throughput, and cost. Core stack is Python and Bash on Linux, with GCP/Terraform as a plus. Fully remote, US-based role.
Joins Speechify's AI team to build petabyte-scale audio data pipelines and large-scale data-processing systems that power text-to-speech model training, working closely with AI scientists. Core stack is Python and Bash on Linux, with GCP/Terraform as a plus; fully remote US role paying $140k-$200k plus bonus and equity.
Remote software engineer on Speechify's AI team who builds petabyte-scale audio data pipelines for TTS model training — discovering new data sources and optimizing large-scale data-processing systems for quality, throughput, and cost. Core stack is Python and Bash on Linux, with GCP/Terraform nice-to-haves.
Software engineer on Speechify's AI team building petabyte-scale data pipelines that feed text-to-speech model training — discovering audio data sources and building large-scale, cost-efficient processing systems. Remote (US-based), 5+ years backend experience, Python/Bash on Linux; $140k-$200k base plus bonus and equity.
Remote (US) software engineer on Speechify's AI team building the data pipelines and large-scale processing systems that supply petabyte-scale audio training data. Core work in Python and Bash on Linux, with cloud/IaC experience (GCP, Terraform) a plus.
Builds the petabyte-scale data pipelines behind Speechify's AI text-to-speech models: sourcing new audio data, running large-scale, cost-efficient data-processing systems, and partnering with AI scientists on training datasets. Backend role needing 5+ years' experience, Python, Bash, and Linux.
Joins Speechify's AI team to build data pipelines and large-scale data-processing systems that supply high-quality audio training data for its text-to-speech models. Day-to-day is backend engineering in Python/Bash on Linux, optimizing pipelines for quality, throughput, and cost in a fully remote team.
Software engineer on Speechify's AI team building petabyte-scale data pipelines that power TTS model training — discovering new audio data sources and optimizing large-scale data processing for quality, throughput, and cost. Core stack: Python, Bash on Linux, with GCP and Terraform a plus.
Software engineer on Speechify's AI team building petabyte-scale audio data pipelines that power text-to-speech model training. Day to day: discovering new audio data sources, building large-scale, cost-efficient data-processing systems (Python/Bash, GCP/Terraform), and collaborating with AI scientists.
Software engineer on Speechify's AI team building petabyte-scale audio data pipelines and large-scale data-processing systems that feed its text-to-speech model training, working closely with AI scientists. Core stack: Python and Bash on Linux, with GCP/Terraform for cloud infrastructure. Full-time remote (US), $140k-$200k + bonus + equity.
Software engineer on Speechify's AI team building petabyte-scale data pipelines that feed model training — discovering new audio data sources and building large-scale, cost-efficient data-processing systems. Core stack: Python, Bash, Linux, with GCP/Terraform as nice-to-haves.
Software engineer on Speechify's AI team building petabyte-scale data pipelines that supply training data for its text-to-speech models: discovering audio data sources and optimizing large-scale processing for quality, throughput, and cost. Needs 5+ years backend experience with Python and Bash; remote within the US.
Joins Speechify's AI team to build petabyte-scale data pipelines and data-acquisition systems that feed its text-to-speech model training. Day to day: discovering new audio data sources, building large-scale distributed data-processing systems optimized for quality, throughput and cost, and collaborating with AI scientists. Core stack: Python, Bash/Linux, cloud infra (GCP, Terraform).
Software engineer on Speechify's AI team, building the data pipelines and large-scale processing systems that produce petabyte-scale audio datasets for training text-to-speech models. Day to day: Python/Bash on Linux, sourcing and acquiring data, optimizing quality, throughput, and cost. Remote within the US.
Remote (US) software engineer on Speechify's AI team building petabyte-scale audio data pipelines that power text-to-speech model training. Day-to-day involves discovering audio data sources and building large-scale, cost-efficient data-processing systems, primarily in Python and Bash on Linux, with GCP/Terraform as nice-to-haves.
Software engineer on Speechify's AI team building petabyte-scale data pipelines for text-to-speech model training: discovering new audio data sources, building large-scale processing systems optimized for quality, throughput, and cost, and partnering with AI scientists. Backend work in Python/Bash on Linux at a fully distributed company.
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