Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering data sources, optimizing data processing 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 that acquire, 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 and operate large-scale data pipelines that acquire, 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 reliable processing systems, 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 reliable data acquisition and processing systems, optimizing dataset quality, throughput, and cost, and collaborating with AI scientists. The role owns engineering projects end to end and may involve web crawling, distributed processing, cloud infrastructure, Infrastructure as Code, and audio dataset quality.

Build and operate large-scale data pipelines supporting AI model training and next-generation products. Responsibilities include discovering audio data sources, developing reliable data acquisition and processing systems, optimizing quality, throughput, and cost, and collaborating with AI scientists. The role requires ownership of engineering projects from discovery through continuous improvement, with emphasis on backend software engineering, production systems, and scalable data 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, 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, improve processing systems for quality, throughput, and cost, collaborate with AI scientists, and own engineering projects from discovery through continuous improvement. The role requires strong backend software engineering, production systems experience, and proficiency with Python, Bash, and Linux, with cloud infrastructure and Terraform experience preferred.

Build and optimize petabyte-scale data pipelines for AI model training, including audio data acquisition, large-scale processing, and dataset quality improvements. Collaborate with AI scientists, operate production systems, and independently manage engineering projects from discovery through continuous improvement. The role emphasizes backend software engineering, scalability, throughput, cost efficiency, and reliable infrastructure.

Build and operate large-scale audio data pipelines for AI model training. Discover data sources, improve data-processing systems, and optimize dataset quality, throughput, and cost. Collaborate with AI scientists on training datasets and next-generation models while 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 end to end. The role requires strong backend software engineering, Python and Bash proficiency, production systems experience, and the ability to work independently in an ambiguous environment.