Audio Engineering Jobs

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Staff Data Engineer (Audio/ML)

Lucasfilm Ent Co Ltd, LLC Payroll Svc Nicasio, CA

Nicasio, CA

Today

$173k - $232k/yr Full time Python Apache Airflow Artificial Intelligence

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Job Description

The Staff Data Engineer (Audio/ML) role focuses on building and operating scalable data pipelines that enable immersive and multichannel audio research for AI/ML initiatives. The position emphasizes automated dataset preparation, rigorous quality practices, and data systems that support iterative training and evaluation.

Key Responsibilities

Design, implement, and maintain scalable automated pipelines for ingestion, preprocessing, and transformation of large-scale audio datasets.
Build pipeline capabilities that support efficient model training and retraining workflows to support continuous AI/ML improvement.
Partner with AI/ML researchers to define data needs, incorporate feedback, and refine pipeline functionality.
Create advanced preprocessing methods for immersive and multichannel audio formats, including Dolby Atmos and high-order ambisonics.
Automate data cleaning, normalization, and augmentation workflows for datasets intended for foundational models and transformer-based architectures.
Integrate external datasets and APIs while ensuring compliance with legal and ethical standards for data usage.
Monitor and optimize pipeline performance to manage complex and evolving data structures effectively.
Develop tools and workflows for dataset annotation, labeling, and curation, including active learning approaches.
Conduct exploratory data analysis to identify trends, validate dataset quality, and locate gaps in data coverage.

Required Qualifications

Master’s Degree, with preference for a PhD in Data Engineering/Science, Computer Science, Signal Processing, or a related field.
8+ years of experience in data engineering or data science, focused on building pipelines for AI/ML applications.
Proficiency in Python, including data manipulation experience with Pandas, NumPy, and PyTorch’s data utilities.
Hands-on experience with audio processing libraries and tools such as Librosa, FFmpeg, and SoX.
Familiarity with scalable pipeline tools including GitLab, Apache Spark, Airflow, or Luigi, plus experience with containerized workflows using Docker and Kubernetes.
Strong understanding of pipeline requirements for iterative research cycles involving model training, retraining, and evaluation.
Experience with immersive and multichannel audio formats.
Knowledge of cloud-based platforms for storage and processing, including AWS S3, Redshift, or Google BigQuery.
Strong problem-solving skills and a proactive approach to handling evolving data challenges.

Technologies

Python, Pandas, NumPy, PyTorch
Librosa, FFmpeg, SoX
GitLab, Apache Spark, Airflow, Luigi
Docker, Kubernetes
AWS S3, Redshift, Google BigQuery
Dolby Atmos, high-order ambisonics
Tableau, Matplotlib

Preferred Qualifications

Experience integrating data pipelines with AI/ML workflows, including active learning and model retraining.
Familiarity with audio-specific dataset practices and metadata management strategies.
Knowledge of machine learning principles and how data quality affects model performance.
Experience with distributed training pipelines and large-scale dataset processing.
Contributions to open-source work or published research in data science or audio processing.
Experience using visualization tools such as Tableau and Matplotlib for quality assurance and exploratory analysis.
Expertise designing systems that support ongoing AI/ML model monitoring and retraining over time.

Location and Compensation

Location: Nicasio, CA (hybrid)
Compensation: USD 173,100 - 232,100 per year

Education

Master’s Degree is required, with preference for a PhD in Data Engineering/Science, Computer Science, Signal Processing, or a related discipline.

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