Top Tech Jobs & Startup Jobs in Charlotte, NC

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. Own engineering projects from discovery through continuous improvement in a distributed environment.

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. Candidates need strong backend software engineering experience, Python and Bash proficiency, production systems expertise, and the ability to work independently in ambiguous environments.

Build scalable, reliable data pipelines and processing systems for AI model training. Responsibilities include discovering audio data sources, improving dataset quality and processing efficiency, collaborating with AI scientists, and owning engineering projects end to end. The role requires strong backend software engineering skills, production systems experience, and proficiency in Python, Bash, and Linux, with preferred experience in cloud infrastructure, Terraform, web crawling, distributed processing, and audio or ML training data.

Build large-scale audio data pipelines and processing systems for AI model training. Discover data sources, optimize dataset quality, throughput, and cost, collaborate with AI scientists, and own engineering projects from discovery through continuous improvement. The role requires 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 data sources, improving 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 and Bash in Linux environments.

Build and operate large-scale data pipelines that collect, process, and optimize audio datasets for AI model training. Responsibilities include discovering data sources, improving data quality, throughput, and cost efficiency, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement. The role requires strong backend software engineering skills and experience with production systems, with preferred experience in distributed processing, cloud infrastructure, Terraform, web crawlers, or audio data.

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.