S'INSCRIRE

Offres d'emploi

Trouvez des postes près de chez vous, sur site, hybrides ou à distance.
  • Emplois similaires à : Staff Data Engineer (Audio/ML)
XX
Staff Data Engineer (Audio/ML)The Walt Disney Company • California, Maryland, United States
Postuler Maintenant
XX

Staff Data Engineer (Audio/ML)

The Walt Disney Company
  • US
    California, Maryland, United States
  • US
    California, Maryland, United States
Postuler Maintenant

À propos

Staff Data Engineer (Audio/ML) Job ID 10129825
Location Nicasio, California, United States
Business Lucasfilm
Date posted Jun. 09, 2026
Job Summary 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 machinelearning 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.
What You'll Do
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.
What We're Looking For
Master's Degree with preference for PhD in Data Engineering/Science, Computer Science, Signal Processing, or a related field.
8+ years of experience in data engineering or data science with a focus on building pipelines for AI/ML applications.
Proficiency in Python, with expertise in data manipulation libraries such as Pandas, NumPy, and PyTorch's data utilities.
Hands‑on experience with audio processing libraries and tools (e.g., Librosa, FFmpeg, SoX) for handling complex audio formats.
Familiarity with scalable pipeline tools like GitLab, Apache Spark, Airflow, or Luigi, and experience with containerized workflows (Docker, Kubernetes).
Strong understanding of data pipeline requirements for model training, retraining, and evaluation in iterative research workflows.
Experience with immersive and multichannel audio formats.
Knowledge of cloud‑based platforms and tools for storage and processing, such as AWS S3, Redshift, or Google BigQuery.
Strong problem‑solving skills, with a proactive mindset for addressing evolving data challenges.
Preferred Qualifications
Experience integrating data pipelines with AI/ML workflows, including active learning and model retraining.
Familiarity with audio‑specific datasets and metadata management strategies.
Knowledge of machine learning principles and how data quality impacts model performance.
Experience with distributed training pipelines and large‑scale dataset processing.
Contributions to open‑source projects or published research in the fields of data science or audio processing.
Experience with visualization tools (e.g., Tableau, Matplotlib) for quality assurance and exploratory data analysis.
Expertise in designing systems to support AI/ML model monitoring and retraining over time.
The hiring range for this position in Nicasio, CA is $170,500 to $228,600 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job‑related knowledge, skills, and experience among other factors. A bonus and/or long‑term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Equal Opportunity Employer Lucasfilm Ent Co Ltd, LLC Payroll Svc is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.
Disability Accommodation For Employment Applications The Walt Disney Company and its affiliated companies are equal employment opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to assess your next position at Lucasfilm, email Candidate.Accommodations@Disney.com with your request.
#J-18808-Ljbffr
  • California, Maryland, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.