Top AI Engineer Jobs

Build scalable data pipelines and processing systems for AI model training. Discover audio data sources, optimize data 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 skills, production systems experience, and the ability to work independently in ambiguous environments.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering data sources, developing reliable ingestion and processing systems, 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 proficiency in Python, Bash, and Linux.

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 owns engineering projects end to end and requires strong backend software engineering, production systems, and independent problem-solving skills.

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 efficiency, partnering with AI scientists, and owning engineering projects end to end. Strong backend software engineering, Python, Bash, Linux, production systems, and data-processing experience are required, with GCP, Terraform, web crawling, and audio or ML dataset familiarity preferred.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering audio 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.

Build scalable AI training-data pipelines, discover audio data sources, and optimize large-scale data processing for quality, throughput, and cost. Collaborate with AI scientists on datasets and models, operate production systems, and own engineering projects from discovery through continuous improvement. The role requires strong backend software engineering, Python and Bash proficiency in Linux environments, and independent problem-solving. Experience with crawlers, distributed processing, GCP, Terraform, and audio or ML data is advantageous.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering audio 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, autonomous environment.

Build and operate scalable data pipelines and processing systems for AI model training. Responsibilities include discovering audio data sources, improving dataset quality, optimizing 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 asynchronous, fully distributed environment.

Build and operate large-scale audio data pipelines for AI model training. The role involves 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. Candidates need strong backend software engineering experience, Python and Bash proficiency, production systems experience, and the ability to work independently in ambiguous environments.

Build and operate large-scale AI data pipelines, discover audio data sources, optimize data-processing systems for quality, throughput, and cost, and collaborate with AI scientists on training datasets. The role requires backend software engineering, production systems experience, independent problem-solving, and ownership of projects from discovery through continuous improvement. Nice-to-have experience includes web crawling, distributed 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 ingestion and 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, ambiguous environment.

Build scalable AI training data pipelines at petabyte scale, discover and acquire audio data, optimize processing for quality, throughput, and cost, and collaborate with AI scientists on next-generation models. The role involves owning engineering projects from discovery through continuous improvement in a distributed environment.

Build and operate large-scale data pipelines that collect, process, and improve audio datasets for AI model training. Discover data sources, optimize 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 in Python, Bash, and Linux, with preferred experience in crawlers, cloud infrastructure, Terraform, and audio or ML datasets.

Build scalable data pipelines and 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, production backend development, and independent problem-solving in ambiguous environments.

Build and operate large-scale data pipelines that source, process, and optimize audio datasets for AI model training. Responsibilities include discovering data sources, improving data 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.

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 from discovery through continuous improvement.

Build and operate large-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.

Build and operate petabyte-scale audio data pipelines for AI model training. The role involves discovering data sources, developing large-scale processing systems, optimizing quality, throughput, and cost, and collaborating with AI scientists. Candidates will own engineering projects end to end and should have strong backend software engineering experience, Python and Bash proficiency, and production systems expertise. Experience with web crawlers, distributed processing, cloud infrastructure, Terraform, machine learning datasets, or audio processing is advantageous.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering audio data sources, developing reliable ingestion and processing systems, optimizing data quality, throughput, and cost, and collaborating with AI scientists on training datasets. The role requires ownership of engineering projects, strong backend development, production systems experience, and independent problem-solving in an ambiguous environment.

Build and operate large-scale data pipelines that acquire, process, and optimize audio datasets for AI model training. Responsibilities include discovering data sources, improving data quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement. The role requires strong backend engineering, production systems experience, and independent problem-solving in a distributed environment.

Build scalable, reliable data pipelines for AI model training, including discovering audio data sources, optimizing large-scale processing for quality, throughput, and cost, and collaborating with AI scientists on training datasets. The role owns engineering projects from discovery through continuous improvement and may involve web crawling, distributed processing, cloud infrastructure, and Infrastructure as Code.

Build and operate large-scale audio data pipelines for AI model training. The role involves discovering data sources, improving data-processing systems, optimizing quality, throughput, and cost, and collaborating with AI scientists on training datasets. Candidates will own engineering projects end to end and work with Python, Bash, Linux, cloud infrastructure, and potentially GCP and Terraform in a fully distributed environment.

Build scalable, reliable pipelines for sourcing and processing audio data used in AI model training. Responsibilities include discovering data sources, optimizing large-scale 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, Python and Bash proficiency, and the ability to work independently in ambiguous environments.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering audio sources, improving 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, production systems experience, Python and Bash proficiency, and independent problem-solving. Preferred experience includes web crawling, data acquisition, distributed processing, GCP, Terraform, ML datasets, and audio processing.

Build large-scale audio data pipelines for AI model training, discovering data sources and optimizing processing systems for 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 and Bash proficiency, and the ability to work independently in ambiguous environments.