Top Tech Jobs & Startup Jobs in Boston, MA

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.

Build and operate large-scale audio data pipelines supporting AI model training. Responsibilities include discovering data sources, improving processing systems for quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement.

Build scalable pipelines and data-processing systems for AI model training, sourcing audio data and optimizing dataset quality, throughput, and cost. Collaborate with AI scientists, operate production systems, and own engineering projects from discovery through continuous improvement. The role requires strong backend software engineering, Python and Bash proficiency, and experience with large-scale data systems.

Build and operate large-scale data pipelines for AI model training, including discovering audio data sources, optimizing data processing 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 skills, production systems experience, and independent problem-solving in ambiguous environments.

Build and operate large-scale data pipelines for AI model training, sourcing audio data and optimizing dataset quality, processing throughput, and cost. Collaborate with AI scientists on training datasets and next-generation models, while 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 data pipelines for AI model training, including discovering audio data 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, 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, optimizing data-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, production systems experience, and proficiency in Python and Bash within Linux environments.

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.

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