Sr Staff R&D Engineer

The Walt Disney Company

Hybrid

Quick summary

Work type
Hybrid
Location
Skywalker Sound-Nicasio, CA
Salary
$206,400–$276,700 / yr
Posted
52 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $182k
This role $242k
$119k most similar roles pay here $294k

This role pays more than 85% of similar roles. Most pay $150,000–$213,375 — the shaded band above. At the midpoint, this role pays about $242k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About The Walt Disney Company

The Walt Disney Company is a diversified global entertainment and media enterprise operating in segments including Disney Parks, Experiences and Products; Entertainment (ABC, Hulu, Disney+); and ESPN. Industry: Entertainment & Media

The Walt Disney Company currently has 154 open roles on FindRole.

Listed pay typically runs $141,900–$190,300 across 150 roles with salary data.

Most-posted roles

View all roles at The Walt Disney Company

At a glance

TL;DR · Sr Staff R&D Engineer

As a Sr Staff R&D Engineer (AI/ML) in the Skywalker Sound Development Group, you will lead the development of advanced audio intelligence technologies for global media production, focusing on speech processing, style transfer, upmixing, source separation, and generative audio synthesis. Your day-to-day responsibilities include architecting and deploying scalable model training pipelines using PyTorch and distributed computing frameworks, developing novel generative audio models optimized for professional soundtrack production, and managing the end-to-end lifecycle of machine learning models from pretraining to CI/CD integration. You will collaborate with product and engineering teams to integrate these solutions into a secure SaaS environment, ensuring seamless workflows for elite content creators worldwide. The role requires expertise in PyTorch, experience with MLOps tools like Weights & Biases and MLflow, and a deep understanding of audio-specific machine learning domains such as source separation and speech enhancement.

What you'll do

  • Lead the research and design of advanced machine learning algorithms for speech processing and voice transfer in media post-production.
  • Drive the architecture and deployment of scalable model training pipelines using PyTorch and distributed computing frameworks.
  • Develop novel generative audio models optimized for professional soundtrack production, including latent diffusion and neural vocoders.
  • Own end-to-end lifecycle management of machine learning models from pretraining to CI/CD integration in a secure SaaS environment.
  • Guide the development of personalized model adaptation workflows for per-user tuning and flexible deployment across projects.

What we're looking for

  • MSc or PhD in Computer Science, Electrical Engineering, Applied Math, or related field with AI/ML focus.
  • 5+ years of professional experience in applied ML, specializing in audio-centric research and deployment.
  • Expertise in building and scaling models using PyTorch for deep neural networks training and inference.
  • Demonstrated experience developing generative audio models like VAE, GAN, diffusion models, or neural vocoders.
  • Deep understanding of audio-specific ML domains including source separation, speech enhancement, music processing.
  • Experience with MLOps tooling, Docker-based containerization, and scalable infrastructure for distributed training.
  • Proven ability to contribute to architectural planning, research strategy, and production deployment in complex environments.

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