Top Tech Jobs & Startup Jobs in Boston, MA

Build scalable pipelines and data-processing systems for AI training datasets, including discovering audio data sources, optimizing quality, throughput, and cost, and collaborating with AI scientists. Own engineering projects from discovery through continuous improvement. The role requires strong backend software engineering fundamentals and experience operating production systems, with preferred experience in web crawling, distributed processing, cloud infrastructure, Terraform, and machine-learning data.

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

Build scalable data pipelines and large-scale processing systems for AI model training. Discover audio data sources, optimize 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.

Build and operate petabyte-scale data pipelines for AI model training, including discovering audio sources, improving data-processing systems, and optimizing 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 cloud infrastructure, Terraform, web crawling, and audio-processing experience preferred.

Build and operate large-scale data pipelines that source, process, and improve audio datasets 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 from discovery through continuous improvement.

Build and operate large-scale data pipelines that collect audio data for AI 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.

Build and operate large-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 continuous improvement. The role requires strong backend software engineering, Python and Bash proficiency, production systems experience, and independent problem-solving. Experience with web crawling, distributed processing, GCP, Terraform, and audio or ML datasets is beneficial.

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 on training datasets, and owning engineering projects from discovery through continuous improvement.

Build and operate large-scale audio data pipelines that power AI model training. Responsibilities include discovering audio data sources, developing reliable data-processing systems, optimizing quality, throughput, and cost, and collaborating with AI scientists on training datasets. The role requires ownership of engineering projects from discovery through continuous improvement in a distributed, ambiguous environment.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering data sources, developing reliable data-processing systems, optimizing data quality, throughput, and cost, and collaborating with AI scientists. The role requires ownership of engineering projects from discovery through continuous improvement in a distributed, autonomous environment.