Builds and operates petabyte-scale data pipelines for AI model training, discovering audio data sources and optimizing data quality/throughput/cost using Python, Bash, and Linux; collaborates with AI scientists on next-gen models.
Builds data pipelines and large-scale data-processing systems that power Speechify's AI model training, using Python, Bash, Linux, and cloud infrastructure to collect and process audio datasets at petabyte scale.
Leads end-to-end technology integration and migration of acquired restaurant platforms onto OrderYOYO's SaaS, coordinating engineering, product, data, and customer teams through wave-based migrations, data pipeline transitions, and legacy retirement. Requires strong programme management, technical literacy in APIs/data/CRM, and commercial judgement to balance migration costs against revenue risk.
Software Engineer building petabyte-scale data pipelines for AI model training at Speechify, a text-to-speech product company. Day-to-day involves discovering audio data sources, building reliable ingestion pipelines, optimizing large-scale data processing systems in Python/Bash/Linux, and collaborating with AI scientists to improve training datasets.
Job Duties Perform analysis of Technology operating expenses (OPEX), including budgeting, forecasting, variance analysis, and vendor spend evaluation, to support strategic financial planning and informed investment…
Software Engineer on Speechify's AI team building petabyte-scale data pipelines for model training, discovering audio data sources, and optimizing data processing systems using Python, Bash, and GCP.
Software Engineer building petabyte-scale data pipelines for AI model training at Speechify, using Python, Bash, Linux, GCP, and Terraform to acquire and process audio data for text-to-speech products.
Software Engineer building petabyte-scale data pipelines for AI model training at Speechify, a text-to-speech company. Day-to-day involves discovering audio data sources, building reliable ingestion pipelines, optimizing large-scale data processing systems, and collaborating with AI scientists to improve training datasets. Core tech: Python, Bash, Linux, GCP, Terraform.
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