Software Engineer, AI Data - Malmö, Sweden

Role overview Build and operate data pipelines that supply audio datasets for AI model training and new product development. The work combines backend engineering, large-scale data processing, and collaboration with AI researchers to improve the quality and efficiency of training data.

Responsibilities - Find audio data sources and create dependable pipelines to bring their content into training datasets. - Develop and improve large-scale processing systems, balancing data quality, throughput, and operating cost. - Work with AI researchers to strengthen datasets and support the development of new models. - Lead engineering work from investigating a problem through implementation and ongoing improvement.

Requirements - A degree in computer science or a related subject, 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 comfort working independently through ambiguous problems.

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

Benefits and work setup The role offers autonomy, an asynchronous work culture, and the opportunity to contribute to products at the intersection of AI and audio. For Sweden-based candidates, the listed compensation range is USD 30,000–115,000 per year, plus bonus and stock, depending on experience.