Top Tech Jobs & Startup Jobs in Boston, MA

Build and operate scalable data pipelines and processing systems for AI model training. Discover audio data sources, improve dataset quality, throughput, and cost, and collaborate with AI scientists on next-generation models. The role involves owning engineering projects end to end, operating production systems, and working independently in an ambiguous environment. Experience with web crawlers, distributed processing, cloud infrastructure, Terraform, ML datasets, or audio processing is advantageous.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering data sources, improving 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 skills, Python and Bash proficiency, Linux experience, and production systems expertise, with cloud infrastructure and distributed data-processing experience preferred.

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 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 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 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.