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Build and operate large-scale audio data pipelines for AI model training. The role involves discovering data sources, optimizing processing systems for quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering audio data sources, developing reliable ingestion and processing systems, optimizing data quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering data sources, optimizing processing systems for quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement.

Build and operate large-scale audio data pipelines for AI model training. Discover data sources, optimize processing systems for quality, throughput, and cost, and collaborate with AI scientists on next-generation models. Own engineering projects from discovery through continuous improvement. The role requires strong backend software engineering, Python and Bash proficiency, production systems experience, and the ability to work independently in an ambiguous environment.

Build and optimize large-scale audio data pipelines for AI model training. Discover data sources, improve processing systems for quality, throughput, and cost, and collaborate with AI scientists on next-generation models. Own engineering projects from discovery through continuous improvement in a distributed environment.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering data sources, optimizing processing systems for quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement.

Build and operate large-scale data pipelines for AI model training, including discovering audio data sources, improving data-processing systems, and optimizing dataset quality, throughput, and cost. Collaborate with AI scientists on training datasets and own engineering projects from discovery through continuous improvement. The role requires strong backend software engineering, Python, Bash, Linux, and production systems experience, with GCP, Terraform, web crawling, and distributed processing as advantages.

Build and operate large-scale audio data pipelines for AI model training. The role involves discovering data sources, improving data-processing systems for quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement.

Build scalable pipelines and data-processing systems for AI training datasets, including discovering audio data sources, optimizing quality, throughput, and cost, and collaborating with AI scientists. Own engineering projects from discovery through continuous improvement. The role requires strong backend software engineering fundamentals and experience operating production systems, with preferred experience in web crawling, distributed processing, cloud infrastructure, Terraform, and machine-learning data.

Build and operate large-scale data pipelines that collect, process, and optimize audio datasets for AI model training. The role involves discovering data sources, improving data quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement.