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Builds petabyte-scale audio data pipelines powering Speechify's AI model training: discovering new audio data sources, creating large-scale data-processing systems optimized for quality, throughput, and cost, and collaborating with AI scientists. Backend-heavy work in Python and Bash on Linux; remote within the US.
Software Engineer on Speechify's AI team building petabyte-scale data pipelines and large-scale data-processing systems that feed AI model training, working closely with AI scientists. Backend-heavy engineering in Python and Bash on Linux; fully remote with a US base salary of $140k-$200k plus bonus and equity.
Software Engineer on Speechify's AI team builds the petabyte-scale data pipelines behind its text-to-speech model training: sourcing new audio data, building large-scale processing systems optimized for quality, throughput and cost, and collaborating with AI scientists. Core stack is Python, Bash and Linux; GCP, Terraform and audio/ML-data experience are pluses.
Software engineer on Speechify's AI team who builds petabyte-scale data pipelines sourcing and processing audio data for text-to-speech model training, optimizing quality, throughput, and cost. Backend-heavy work in Python and Bash on Linux, with cloud infrastructure experience (GCP, Terraform) a plus.
Remote (US) software engineer role on Speechify's AI team: you build petabyte-scale data pipelines and infrastructure that supply training data for its text-to-speech models, working with Python/Bash on Linux alongside AI scientists. 5+ years backend experience; $140k–$200k plus bonus and equity.
Builds the petabyte-scale audio data pipelines that power Speechify's AI model training for its text-to-speech products: sourcing new data, optimizing large-scale processing for quality, throughput, and cost, and partnering with AI scientists. Backend-heavy Python/Bash on Linux, with GCP/Terraform a plus. Fully remote, ~200-person distributed company.
Builds petabyte-scale audio data pipelines powering Speechify's AI model training: sourcing new audio data, optimizing large-scale processing for quality, throughput, and cost, and collaborating with AI scientists. Core stack is Python and Bash on Linux, with GCP and Terraform as nice-to-haves; remote within the US.
Software engineer on Speechify's AI team building the data pipelines and large-scale data-processing systems that source audio data and power its text-to-speech model training. Day to day: Python/Bash backend work on petabyte-scale datasets, optimizing quality, throughput, and cost, in a fully distributed, remote US team.
Speechify (remote, US) is hiring a Software Engineer on its AI team to build petabyte-scale data pipelines that feed its text-to-speech model training. Day-to-day involves Python/Bash backend work on large-scale data processing, data acquisition, and cloud infra (GCP/Terraform), paying $140k–$200k plus bonus and equity.
Builds the data pipelines behind Speechify's AI text-to-speech products: discovering audio data sources and running petabyte-scale, cost-efficient data processing in Python/Bash on Linux, collaborating with AI scientists on training datasets. Remote role for US-based engineers with 5+ years backend experience.
Builds petabyte-scale data pipelines and large-scale data-processing systems that feed model training for Speechify's AI text-to-speech products. Backend-heavy Python/Bash work in Linux, discovering new audio data sources and optimizing data quality, throughput, and cost alongside AI scientists.
Software Engineer on Speechify's AI team, building the petabyte-scale audio data pipelines that feed its text-to-speech model training — discovering new data sources, running large-scale data processing in Python/Bash, and collaborating with AI scientists. Fully remote (~200-person distributed company), US base salary $140k–$200k plus bonus and equity.
Builds the large-scale data pipelines that power Speechify's text-to-speech AI models: discovering new audio data sources, operating petabyte-scale data processing optimized for quality, throughput, and cost, and collaborating with AI scientists. Backend role requiring 5+ years' experience, strong Python and Bash skills; remote, US-based.
Speechify is hiring a remote (US) Software Engineer on its AI team to build petabyte-scale audio data pipelines and large-scale data-processing systems that power TTS model training. Core work is backend engineering in Python/Bash on Linux, with GCP/Terraform and audio/ML-data experience a plus.
Software engineer on Speechify's AI team building petabyte-scale audio data pipelines and large-scale data-processing systems that fuel text-to-speech model training. Fully remote (US), requiring 5+ years backend experience with Python, Bash, and cloud infra like GCP/Terraform; $140k-$200k plus bonus and equity.
Remote US-based engineer on Speechify's AI team building petabyte-scale data pipelines for model training: sourcing audio data, building large-scale data-processing systems, and partnering with AI scientists. Core stack is Python and Bash on Linux; GCP and Terraform experience is a plus.
Software engineer on Speechify's AI team building petabyte-scale data pipelines that feed its text-to-speech model training: discovering new audio data sources, optimizing large-scale processing for quality, throughput, and cost, and collaborating with AI scientists. Backend-heavy work in Python/Bash on Linux; GCP and Terraform a plus. Fully remote, ~200-person distributed company.
Speechify, maker of a text-to-speech reading app, is hiring a remote US-based Software Engineer on its AI team to build petabyte-scale audio data pipelines for model training. Daily work involves sourcing audio data, building large-scale data-processing systems (Python, Bash, Linux, GCP), and collaborating with AI scientists.
Software engineer on Speechify's AI team building petabyte-scale data pipelines that feed model training: discovering new audio data sources, optimizing large-scale data-processing systems for quality, throughput, and cost, and collaborating with AI scientists. Requires 5+ years of backend experience with Python and Bash in Linux.
Software engineer on Speechify's AI team building petabyte-scale audio data pipelines that feed text-to-speech model training — discovering new audio sources and optimizing large-scale data-processing systems for quality, throughput, and cost using Python, Bash, and cloud infrastructure (GCP, Terraform). Fully remote role for US-based candidates.
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