Staff Workflow Engineer

The Walt Disney Company; Burbank (CA); On-site; USD 158,000 - 212,000; Full time

Job summary

The Walt Disney Company is seeking a Staff Workflow Engineer AIML in Burbank, CA to design, prototype, and productionize next-generation workflows for filmmaking. You will bridge traditional pipeline engineering with ML, translating cutting-edge AI into scalable, secure production solutions and collaborating with data scientists and ML engineers.

You will report to the Director, Workflow Innovation and contribute across VFX pipelines, render farms, and hybrid cloud infrastructure in a fast-paced

Qualifications

• Bachelor's degree or equivalent experience in Visual Effects, Computer Graphics, or related field.
• 7+ years in production pipeline engineering, technical direction, or related VFX discipline.
• Deep expertise with Nuke in production environments.
• Experience with AI/ML frameworks such as PyTorch or TensorFlow.
• Familiarity with GPU acceleration and render-farm workflows.

Responsibilities

• Design, prototype, and deploy end-to-end workflows for VFX, post-production, and virtual production pipelines.
• Integrate DCC applications (Nuke, Maya, Houdini) into automated systems.
• Develop tools, APIs, and services to improve efficiency and cost.
• Create proof-of-concept environments to simulate production scenarios.
• Document standards and best practices for operational adoption.
• Evaluate and productionize AI/ML models for workflows.
• Build ML pipelines (training, fine-tuning, inference, optimization).
• Work with foundation models (vision, audio, multimodal) for production use.
• Optimize model performance for GPU environments and render farms.
• Collaborate with data scientists and ML engineers to productionize models.
• Develop backend services in Python and related frameworks.
• Work with Docker, Kubernetes in containerized environments.
• Integrate GPU compute, render farms, and hybrid cloud/on-prem infrastructure.

Skills

Communication

Collaboration

Systems thinking

Creative problem-solving

Education

Bachelor's degree in Visual Effects / Computer Graphics or related field

7+ years in production pipeline engineering / VFX

Tools

Nuke

Maya

Houdini

Python

Docker

Kubernetes

PyTorch

TensorFlow

FFmpeg

GStreamer

OpenColorIO

Job description

Staff Workflow Engineer

Job ID 10159729 Location Burbank, California, United States Business The Walt Disney Studios Date posted Oct. 21, 2026

It’s the magic of immersing yourself in a motion picture masterpiece, or a new track from your favorite band, or the spectacle of a live Broadway show. It’s hard to define and even harder to create, but that’s what we do at The Walt Disney Studios. Ours is a culture of innovation, collaboration, and creativity. We raise the bar, then step over it, blazing trails through the production and distribution of world class entertainment around the globe. If you want to help, tell compelling, enduring stories through movies, music, or stage plays, then we want to hear from you.

As part of the Studio Technology organization, you will join a group of seasoned technologists dedicated to solving a range of creative problems through innovation, strategy, and forward thinking. This role sits within the Motion Picture technologies at Walt Disney Studios, which is a group of specialty film making labs in Production Technology providing production services, research, development, innovation, and support required for civilized filmmaking.

Job Overview

As the Staff Workflow Engineer AIML, you have deep experience in production pipelines and hands-on AI/ML engineering expertise to design, prototype, and productionize next-generation workflows for filmmaking.

This role bridges traditional pipeline engineering with emerging machine learning technologies. This role understands real-world production constraints and can translate cutting-edge AI capabilities into scalable, secure, production-ready solutions. You will report to the Director, Workflow Innovation within Motion Pictures Technologies in Burbank, CA.

Role & Responsibilities

• Design, prototype, and deploy end-to-end workflows supporting VFX, post-production, and emerging virtual production pipelines
• Integrate DCC applications (e.g., Nuke, Maya, Houdini) into automated and scalable systems
• Develop tools, APIs, and services that improve efficiency, quality, and cost
• Create proof-of-concept environments to simulate real production scenarios
• Document standards and best practices for operational adoption
• Evaluate, test, and integrate AI/ML models into production workflows
• Build and deploy ML pipelines (training, fine-tuning, inference, optimization)
• Work with foundation models (vision, audio, multimodal) and adapt them for production use.
• Optimize model performance for GPU environments and render farm deployment
• Collaborate with data scientists and ML engineers to transition research models into usable production tools
• Develop scalable backend services in Python and related frameworks
• Work with containerized environments (Docker, Kubernetes).
• Integrate GPU compute, render farms, and hybrid cloud/on-prem infrastructure
• Implement logging, monitoring, and performance profiling
• Ensure security, compliance, and data governance standards are upheld
• Partner with production, engineering, R&D, and operations teams
• Translate production pain points into technical solutions.
• Present findings, demos, and technical documentation to stakeholders
• Provide ongoing support during rollout and implementation.

• Design, prototype, and deploy end-to-end workflows supporting VFX, post-production, and emerging virtual production pipelines
• Integrate DCC applications (e.g., Nuke, Maya, Houdini) into automated and scalable systems
• Develop tools, APIs, and services that improve efficiency, quality, and cost
• Create proof-of-concept environments to simulate real production scenarios
• Document standards and best practices for operational adoption
• Evaluate, test, and integrate AI/ML models into production workflows
• Build and deploy ML pipelines (training, fine-tuning, inference, optimization)
• Work with foundation models (vision, audio, multimodal) and adapt them for production use.
• Optimize model performance for GPU environments and render farm deployment
• Collaborate with data scientists and ML engineers to transition research models into usable production tools
• Develop scalable backend services in Python and related frameworks
• Work with containerized environments (Docker, Kubernetes).
• Integrate GPU compute, render farms, and hybrid cloud/on-prem infrastructure
• Implement logging, monitoring, and performance profiling
• Ensure security, compliance, and data governance standards are upheld
• Partner with production, engineering, R&D, and operations teams
• Translate production pain points into technical solutions.
• Present findings, demos, and technical documentation to stakeholders
• Provide ongoing support during rollout and implementation.

About The Team

It’s the magic of immersing yourself in a motion picture masterpiece, or a new track from your favorite band, or the spectacle of a live Broadway show. It’s hard to define and even harder to create, but that’s what we do at The Walt Disney Studios. Ours is a culture of innovation, collaboration, and creativity. We raise the bar, then step over it, blazing trails through the production and distribution of world class entertainment around the globe. If you want to help, tell compelling, enduring stories through movies, music, or stage plays, then we want to hear from you.

As part of the Studio Technology organization, you will join a group of seasoned technologists dedicated to solving a range of creative problems through innovation, strategy, and forward thinking. This role sits within the Motion Picture technologies at Walt Disney Studios, which is a group of specialty film making labs in Production Technology providing production services, research, development, innovation, and support required for civilized filmmaking.

Job Overview

As the Staff Workflow Engineer AIML, you have deep experience in production pipelines and hands-on AI/ML engineering expertise to design, prototype, and productionize next-generation workflows for filmmaking.

This role bridges traditional pipeline engineering with emerging machine learning technologies. This role understands real-world production constraints and can translate cutting-edge AI capabilities into scalable, secure, production-ready solutions. You will report to the Director, Workflow Innovation within Motion Pictures Technologies in Burbank, CA.

Role & Responsibilities

• Design, prototype, and deploy end-to-end workflows supporting VFX, post-production, and emerging virtual production pipelines
• Integrate DCC applications (e.g., Nuke, Maya, Houdini) into automated and scalable systems
• Develop tools, APIs, and services that improve efficiency, quality, and cost
• Create proof-of-concept environments to simulate real production scenarios
• Document standards and best practices for operational adoption
• Evaluate, test, and integrate AI/ML models into production workflows
• Build and deploy ML pipelines (training, fine-tuning, inference, optimization)
• Work with foundation models (vision, audio, multimodal) and adapt them for production use.
• Optimize model performance for GPU environments and render farm deployment
• Collaborate with data scientists and ML engineers to transition research models into usable production tools
• Develop scalable backend services in Python and related frameworks
• Work with containerized environments (Docker, Kubernetes).
• Integrate GPU compute, render farms, and hybrid cloud/on-prem infrastructure
• Implement logging, monitoring, and performance profiling
• Ensure security, compliance, and data governance standards are upheld
• Partner with production, engineering, R&D, and operations teams
• Translate production pain points into technical solutions.
• Present findings, demos, and technical documentation to stakeholders
• Provide ongoing support during rollout and implementation.

Work Experience

Basic Qualifications and Experience

• Bachelor's degree in Visual Effects, Digital Arts, Computer Graphics, Animation, Computer ScienceEngineering, or a related field, or equivalent professional experience.
• 7+ years of experience in production pipeline engineering, technical direction, workflow engineering, or a related VFX discipline.
• Deep expertise with Nuke in a production environment.
• Deep understanding of VFX production workflows, including HDR media, color management, stereo workflows, and versioning.
• Experience integrating and supporting digital content creation (DCC) tools such as Maya, Houdini, or similar platforms.
• Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, or similar technologies.
• Familiarity with ComfyUI or similar AI workflow tools.
• Experience deploying machine learning models for inference in production environments.
• Familiarity with GPU acceleration and performance optimization.
• Experience with containerization, CI/CD workflows, and modern engineering practices.
• Strong systems-thinking skills with the ability to balance creative and technical requirements.
• Demonstrated ability to evaluate, implement, and productionize emerging technologies.
• Strong communication, collaboration, and technical documentation skills.
• Ability to operate effectively in research and development environments with evolving requirements and ambiguity.
• Passion for applying emerging AI technologies to filmmaking, content creation, and artist workflows.

Preferred Qualifications

• Bachelor’s degree in computer science or engineering
• Experience building custom Nuke gizmos or automation scripts.
• Knowledge of media frameworks (FFmpeg, GStreamer, OpenColorIO).
• Experience with multimodal models (vision-language, video generation)
• Experience with cloud ML platforms (AWS, GCP, Azure).
• Familiarity with large-scale storage systems (NVMe, object storage).
• Experience supporting stereo or immersive workflows.
• Knowledge of render farm orchestration tools (Deadline, OpenCue, etc.).

Disclaimer

PAY TRANSPARENCY

The hiring range for this position in Burbank, CA is $158,100.00-$211,900.00 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.

This position is withWalt Disney Pictures, which is part of a business we callThe Walt Disney Studios.

To learn more about Disney's guidelines on the use of AI for candidates, click here. (opens in new window)

Walt Disney Pictures is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. 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 search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs (opens in new window) . We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

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