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Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering data sources, developing high-throughput and cost-efficient processing systems, improving dataset quality, 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, developing data-processing systems, optimizing quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement. The role requires strong backend software engineering skills, production systems experience, and independent problem-solving in an ambiguous environment.

Build and operate large-scale audio data pipelines supporting AI model training. Responsibilities include discovering data sources, developing reliable processing systems, optimizing data quality, throughput, and cost, and collaborating with AI scientists. The role requires strong backend software engineering, production systems experience, Python and Bash proficiency, and independent problem-solving. Preferred experience includes web crawling, distributed processing, cloud infrastructure, Terraform, machine learning datasets, and audio processing.

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

Build and operate large-scale audio data pipelines that support AI model training. Responsibilities include discovering data sources, optimizing data-processing systems for quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement. The role requires strong backend software engineering, production systems experience, and proficiency in Python, Bash, and Linux, with preferred experience in cloud infrastructure, Terraform, web crawling, and audio or ML datasets.

Build scalable data pipelines and processing systems for AI model training datasets. Responsibilities include discovering audio data sources, optimizing data quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement. The role requires strong backend software engineering, production systems experience, and independent problem-solving in an ambiguous environment.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering audio sources, developing data-processing systems, optimizing data quality, throughput, and cost, and collaborating with AI scientists on training datasets. The role requires ownership of engineering projects from discovery through continuous improvement, using Python, Bash, Linux, and production systems expertise. Preferred experience includes web crawling, distributed data processing, cloud infrastructure, Terraform, dataset quality, and audio processing.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering data sources, developing reliable data-processing systems, optimizing quality, throughput, and cost, and collaborating with AI scientists on training datasets. The role requires strong backend engineering, production systems experience, Python and Bash proficiency, and independent problem-solving in an ambiguous environment.

Build scalable pipelines and data-processing systems for AI training datasets at petabyte scale. Discover audio data sources, optimize data 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, production systems experience, and proficiency in Python, Bash, and Linux, with preferred experience in data acquisition, distributed processing, cloud infrastructure, Terraform, machine learning data, or audio processing.

Build scalable pipelines for acquiring, processing, and curating audio data used in AI model training. Improve data quality, throughput, and cost at petabyte scale; collaborate with AI scientists on datasets and next-generation models; and own engineering projects from discovery through continuous improvement.