Staff ML Engineer: Vision & Multimodal AI Leader

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

Job summary

The Walt Disney Studios is seeking a Staff Machine Learning Engineer to lead applied deep learning in computer vision and multimodal AI, taking solutions from experiment to production for Studio users.

This hands-on technical leadership role requires pragmatism, strong judgment on ML deployment, and comfort with the pace of evolving AI. You will collaborate with product, engineering and business teams to build impactful capabilities.

Qualifications

• 7+ years of professional experience, including 4+ years deploying ML in production.
• Strong command of deep learning with expertise in computer vision and multimodal models.
• Strong Python and PyTorch with production practices and familiarity with Docker and cloud platforms.
• Proven track record leading ML projects across teams and communicating with non-technical partners.

Responsibilities

• Lead the design and development of ML solutions in computer vision and multimodal AI for Studio users.
• Run experiments to select, adapt and fine-tune methods and guide make-vs-buy decisions.
• Define evaluation methods tying model quality to real user outcomes.
• Work with engineering to productionize solutions and iterate based on feedback.
• Set technical direction, mentor engineers, and champion testing and reproducibility.
• Partner with product, engineering and business stakeholders to build the right solution.
• Develop solutions aligned with responsible AI principles.

Education

Master’s degree in Computer Science, ML, or CV

PhD in Computer Science or ML

Tools

Docker

CI/CD

Cloud platforms

Job description

The Walt Disney Studios is seeking a Staff Machine Learning Engineer to lead applied deep learning in computer vision and multimodal AI, taking solutions from experiment to production for Studio users.

This hands-on technical leadership role requires pragmatism, strong judgment on ML deployment, and comfort with the pace of evolving AI. You will collaborate with product, engineering and business teams to build impactful capabilities.