Software Engineer, AI Data - Stamford, CT, USA

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 close collaboration with AI researchers to improve dataset quality and make training systems more efficient.

Responsibilities - Identify audio data sources and develop dependable processes for collecting and incorporating that data into training datasets. - Build and refine data-processing systems, balancing quality, throughput, reliability, and cost. - Work with AI researchers to improve datasets and support the development of future models. - Take projects from investigating the problem through implementation, operation, and ongoing improvement.

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

Nice to have - Experience with web crawlers, data acquisition, or distributed processing systems. - Cloud infrastructure and Infrastructure as Code experience, especially 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 opportunity to contribute to AI and audio products, including tools intended to improve access to reading. The listed US base salary is $140,000–$200,000, with bonus and equity; compensation depends on experience.