The Skywalker Sound Development Group is seeking an experienced Data Engineer with a focus on Audio/ML to specialize in the creation, management, and optimization of data pipelines to support cutting-edge AI/ML research. This is a critical role in preparing high-quality datasets for the training, retraining, and evaluation of machine learning models tailored to immersive and multichannel audio applications. As a Data Engineer (Audio/ML), you will focus on developing robust pipelines for processing complex media datasets, enabling AI/ML researchers to build transformative solutions for speech processing, style transfer, and source separation. Your work will directly contribute to creating innovative soundtrack workflows for global media production. This role is considered Hybrid, which means the employee will work 2-3 days onsite at our Nicasio, CA office and occasionally from home. Responsibilities • Design, implement, and maintain scalable, automated data pipelines for the ingestion, preprocessing, and transformation of large-scale audio datasets. • Ensure pipelines support efficient model training and retraining workflows, enabling continuous improvement of AI/ML models. • Collaborate with AI/ML researchers to define data requirements and integrate feedback to improve data pipeline functionality. • Develop advanced preprocessing techniques for immersive and multichannel audio formats (e.g., Dolby Atmos, high-order ambisonics). • Automate data cleaning, normalization, and augmentation processes to prepare datasets for various model architectures, including foundational models and transformers. • Integrate external datasets and APIs while ensuring compliance with legal and ethical data usage standards. • Monitor and optimize pipeline performance to handle complex and dynamic data structures effectively. • Create tools and workflows for annotating, labeling, and curating datasets, including the use of active learning methods. • Perform exploratory data analysis to uncover trends, validate dataset quality, and identify data gaps. Requirements • Master’s Degree with preference for PhD in Data Engineering/Science, Computer Science, Signal Processing, or a related…