Staff Data Engineer (Audio/ML): Immersive Audio Pipelines

The Walt Disney Company; California; Hybrid; USD 171,000 - 229,000; Full time

Job summary

Skywalker Sound is seeking an experienced Staff Data Engineer focusing on Audio/ML to design and optimize data pipelines for AI research in immersive audio. You will enable model training, retraining, and evaluation with high-quality datasets and collaborate with researchers on data requirements.

The role is hybrid, requiring 2-3 onsite days at the Nicasio, CA office with occasional remote work, and involves advanced audio processing and data engineering for state‑of‑the‑art speech, style

Qualifications

• Master's degree in Data Engineering/Science, CS, Signal Processing or related field.

Responsibilities

• Design, implement, and maintain scalable data pipelines for ingestion, preprocessing, and transformation of large-scale audio datasets.

Skills

Python

Pandas

NumPy

PyTorch

Audio processing

Spark

Airflow

Docker

Kubernetes

AWS

BigQuery

Education

Master's Degree

PhD preferred

Tools

GitLab

Apache Spark

Airflow

Docker

Kubernetes

Job description

Skywalker Sound is seeking an experienced Staff Data Engineer focusing on Audio/ML to design and optimize data pipelines for AI research in immersive audio. You will enable model training, retraining, and evaluation with high-quality datasets and collaborate with researchers on data requirements.

The role is hybrid, requiring 2-3 onsite days at the Nicasio, CA office with occasional remote work, and involves advanced audio processing and data engineering for state‑of‑the‑art speech, style