Software Engineer, AI Data - The Hague, Netherlands

Role overview Build and operate data pipelines that supply audio datasets for machine learning training and new AI products. The work combines backend engineering, large-scale data processing, and close collaboration with research colleagues to improve dataset quality and make training more efficient.

Responsibilities - Find audio data sources and develop dependable pipelines to bring data into training datasets. - Build and improve processing systems, balancing data quality, throughput, and operating cost. - Work with AI researchers to refine datasets and support development of future models. - Lead engineering work from investigating a problem through implementation and ongoing improvement.

Requirements - Degree in computer science or a related discipline, or equivalent practical experience. - At least five years of professional software engineering experience and strong backend fundamentals. - Proficiency with Python and Bash in Linux environments. - Experience building and operating production systems; data pipelines or large-scale processing experience is especially relevant. - Strong problem-solving skills, initiative, and ability to work independently when requirements are ambiguous.

Nice to have - Experience with web crawlers, data acquisition, or distributed processing systems. - Cloud infrastructure and Infrastructure as Code experience, particularly with GCP and Terraform. - Familiarity with machine learning datasets, data quality, or audio processing.

Benefits and work setup The role offers autonomy, an asynchronous work culture, and the chance to contribute to products at the intersection of AI and audio. Compensation is described as competitive, with bonus and stock; the stated range for Netherlands-based hires is USD 30,000–120,000 per year, depending on experience.