Top Tech Jobs & Startup Jobs in Charlotte, NC

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.

Build and operate large-scale data pipelines that collect, process, and improve audio datasets for AI model training. The role focuses on data quality, throughput, cost optimization, production systems, and collaboration with AI scientists. Responsibilities include discovering data sources, developing scalable processing systems, and owning engineering projects from discovery through continuous improvement.

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 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 skills, Python and Bash proficiency, production systems experience, and the ability to work independently.

Build scalable, cost-efficient data pipelines and processing systems for AI model training. Responsibilities include discovering audio data sources, creating reliable ingestion pipelines, optimizing data quality and throughput, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement. The role requires strong backend software engineering experience, Python and Bash proficiency, Linux expertise, and experience operating production systems.