Software Engineer, AI Data - Hamburg, Germany

Role overview

Build the data pipelines and processing systems that supply audio datasets for AI model training and new products. The work spans finding data sources, improving large-scale data quality and efficiency, and partnering with AI researchers to make training data more useful.

Responsibilities - Identify audio data sources and develop dependable pipelines to bring data into training datasets. - Build and operate large-scale processing systems, balancing data quality, throughput, and cost. - Work with AI researchers to refine datasets and support the development of new models. - Lead engineering work from problem discovery through delivery and ongoing improvement.

Requirements - A computer science or related degree, 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 the ability to work independently amid ambiguity.

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

Benefits and work setup - A distributed team with an asynchronous work culture and autonomy in how work is approached. - Opportunity to contribute to products intended to make reading more accessible, including for people with learning differences. - Work at the intersection of AI and audio, with the potential to influence products and engineering direction. - The listed Germany-based compensation range is USD 30,000–120,000 per year, plus bonus and stock, depending on experience.