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Remote Software Engineer on Speechify's AI team (Pune, India) building petabyte-scale data pipelines and large-scale data-processing systems that feed the training of its text-to-speech models. Core stack: Python, Bash/Linux, and cloud infrastructure like GCP and Terraform, working closely with AI scientists.
Software engineer on Speechify's AI team building the data pipelines that power TTS model training: sourcing new audio data, building petabyte-scale, cost-efficient data-processing systems, and improving training datasets with AI scientists. Requires 5+ years of backend engineering with Python and Bash; remote role tied to Chennai, India.
Remote software engineer on Speechify's AI team (Mumbai, India) building the data pipelines behind model training: discovering new audio data sources and running large-scale data-processing systems optimized for quality, throughput, and cost, working closely with AI scientists. Core stack: Python, Bash, Linux, with GCP/Terraform a plus.
Software Engineer on Speechify's AI team building the data pipelines behind its text-to-speech models — sourcing new audio data and running petabyte-scale data-processing systems optimized for quality, throughput, and cost. Fully remote role tied to Delhi, India; needs 5+ years backend engineering with Python and Bash on Linux.
Software engineer on Speechify's AI team building petabyte-scale audio data pipelines that power model training: discovering new data sources, optimizing large-scale data-processing systems for quality, throughput, and cost, and collaborating with AI scientists. Backend-focused role needing strong Python/Bash and 5+ years of experience; remote in India.
Software Engineer on Speechify's AI team, building and scaling petabyte-scale audio data pipelines that feed text-to-speech model training. Day-to-day is backend engineering in Python and Bash on Linux, optimizing large-scale data processing for quality, throughput, and cost. Remote role based around Gurgaon, India.
Joins Speechify's AI team to build data pipelines powering text-to-speech model training: discovering new audio data sources and building petabyte-scale, cost-efficient data-processing systems. Backend-heavy Python/Bash engineering on Linux; remote role for Poland-based candidates paying $30k–110k USD plus bonus and stock.
Builds the large-scale data pipelines that power Speechify's text-to-speech model training — discovering new audio data sources and optimizing petabyte-scale data processing for quality, throughput, and cost. Backend work in Python and Bash on Linux, fully remote for Poland-based engineers.
Software engineer on Speechify's AI team building petabyte-scale data pipelines that discover and process audio data for training text-to-speech models. Day-to-day is backend work in Python and Bash on Linux, optimizing large-scale data processing for quality, throughput, and cost. Poland-based remote role paying $30k–$110k plus bonus and stock.
Builds and operates large-scale data pipelines and petabyte-scale training datasets powering Speechify's AI text-to-speech models, working alongside AI scientists on data acquisition, processing, and quality. Backend-heavy Python/Bash engineering in Linux, with GCP and Terraform experience preferred; fully remote within Slovakia.
Remote (Luxembourg-based) software engineer on Speechify's AI team, building petabyte-scale audio data acquisition and processing pipelines that power text-to-speech model training. Core stack is Python and Bash on Linux, with GCP/Terraform as nice-to-haves; salary $30k–$105k plus bonus and stock.
Backend engineer on Speechify's AI team, building petabyte-scale data pipelines and processing systems that source and prepare audio data for training next-generation text-to-speech models. Core stack is Python and Bash on Linux, with GCP and Terraform a plus.
Remote (US) software engineer on Speechify's AI team building petabyte-scale data pipelines that feed its text-to-speech model training. Day to day: sourcing audio data, building large-scale Python/Bash data-processing systems (GCP/Terraform), and collaborating with AI scientists. Requires 5+ years backend experience; pays $140k–$200k + bonus + equity.
Joins Speechify's AI team to build the data pipelines behind its text-to-speech model training: discovering new audio data sources and running petabyte-scale, cost-efficient data-processing systems. Core stack is Python and Bash on Linux, with GCP and Terraform as pluses.
Speechify is hiring a Software Engineer, AI Data to build the petabyte-scale data pipelines behind its 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, Bash/Linux, GCP, and Terraform.
Software engineer on Speechify's AI team building the petabyte-scale audio data pipelines behind its text-to-speech model training. Day to day: sourcing new audio data, building large-scale, cost-efficient data-processing systems in Python/Bash, and collaborating with AI scientists. Remote role with a US base salary range of $140k–$200k plus bonus and equity.
Software engineer on Speechify's AI team building the data pipelines behind its text-to-speech models: discovering audio data sources and running petabyte-scale, cost-efficient data processing. Fully remote (US), 5+ years of backend software engineering required.
Builds large-scale (petabyte) audio data pipelines that power Speechify's text-to-speech model training — discovering new data sources and building high-throughput, cost-efficient data-processing systems alongside AI scientists. Core stack is Python and Bash on Linux, with GCP/Terraform for cloud infrastructure. Remote role within the United States.
Builds and maintains the large-scale (petabyte) data pipelines that supply audio training data for Speechify's text-to-speech AI models — discovering data sources, optimizing throughput and cost, and supporting AI scientists. Stack centers on Python, Bash/Linux, and cloud infra (GCP, Terraform); fully remote within the US.
Remote (US) backend engineer on Speechify's AI team: discovering new audio data sources and building petabyte-scale, cost-efficient data pipelines and processing systems that power training of Speechify's text-to-speech models. Core stack is Python and Bash on Linux, with GCP/Terraform a plus.
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