Top Tech Jobs & Startup Jobs in Seattle, WA

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering data sources, improving data-processing systems, optimizing quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects end to end. The role requires strong backend software engineering, production systems experience, Python and Bash proficiency, and independent problem-solving. Experience with web crawlers, distributed processing, GCP, Terraform, machine-learning datasets, or audio processing is advantageous.

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

Build and operate petabyte-scale data pipelines for AI model training, including discovering audio data sources, optimizing processing systems for quality, throughput, and cost, and collaborating with AI scientists. Own engineering projects from discovery through implementation and continuous improvement. The role requires strong backend software engineering, Python and Bash proficiency, Linux experience, and production data-processing expertise.

Build and operate petabyte-scale data pipelines for AI model training. The role involves discovering audio data sources, developing large-scale processing systems, optimizing data quality, throughput, and cost, and collaborating with AI scientists on next-generation models. Responsibilities include owning engineering projects from discovery through continuous improvement and working with production systems, data acquisition, distributed processing, cloud infrastructure, and infrastructure as code.

Build scalable data pipelines and processing systems for AI model training. Discover and acquire audio data, optimize dataset 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 and Bash, with preferred experience in web crawling, distributed processing, cloud infrastructure, Terraform, machine-learning datasets, or audio processing.

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 training datasets. The role requires strong backend engineering, production systems experience, and independent ownership of projects from discovery through continuous improvement.

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

Build and operate large-scale AI training data pipelines, discover audio data sources, optimize data processing for quality, throughput, and cost, and collaborate with AI scientists on next-generation models. The role requires strong backend software engineering, production systems experience, and independent ownership of engineering projects in ambiguous environments.

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

Build and operate petabyte-scale data pipelines for AI model training, including discovering audio data sources, improving processing systems, and optimizing data 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, production systems experience, Python, Bash, and Linux proficiency, with GCP, Terraform, web crawling, and audio-processing experience preferred.