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Job Description

Lead applied deep learning efforts in computer vision and multimodal AI, guiding solutions from experiment to production for Studio users.

Responsibilities

  • Design and develop machine learning solutions for computer vision and multimodal AI used by Studio teams.
  • Run targeted experiments to select, adapt, and fine-tune proven approaches.
  • Lead build-vs-buy-vs-partner decisions based on feasibility and outcomes.
  • Define evaluation methods, including approaches for generative and subjective outputs, connecting model quality to real user outcomes.
  • Collaborate with engineering teams to move solutions into production and iterate using monitoring and user feedback.
  • Set technical direction across teams, mentor engineers, and promote testing, code quality, and reproducibility.
  • Partner with product, engineering, and business stakeholders to shape the right solution and explain tradeoffs clearly for sound business decisions.
  • Develop in alignment with Disney responsible AI principles, respecting content rights, IP, and talent protections.
  • Stay current with multimodal and generative AI and bring improved methods into Studio workflows.

Requirements

  • Master’s degree in Computer Science, Machine Learning, Computer Vision, or a closely related field.
  • 7+ years of professional experience; 4+ years deploying machine learning in production.
  • Strong deep learning expertise, including computer vision and multimodal models (examples provided: vision-language models, video understanding).
  • Experience designing experiments and evaluation methods that influence product decisions.
  • Strong Python and PyTorch (or equivalent), plus production practices such as version control, automated testing, and CI/CD; familiarity with Docker and cloud platforms.
  • Proven ability to lead ML projects across teams and communicate effectively with non-technical partners.

Preferred Qualifications

  • PhD in Computer Science, Machine Learning, Computer Vision, or a related field, with experience applying that depth to shipped products.
  • Experience with generative models, distributed training, or ML at scale.
  • Experience building tools with or for creative professionals.
  • Background in media and entertainment.

Technical Skills / Technologies

  • Python
  • PyTorch
  • Docker
  • CI/CD
  • Cloud platforms
  • Vision-language models

Location & Work Model

  • Onsite in Burbank, CA.
  • This is not a remote role; you must be in the area or open to relocation.

Compensation & Pay Transparency

  • Hiring range (Burbank): $158,100.00 - $211,900.00 per year.
  • Base pay offered may consider internal equity and may vary based on geographic region, job-related knowledge, skills, and experience.
  • Bonus and/or long-term incentive units may be provided as part of the compensation package.
  • Medical, financial, and/or other benefits may be provided, depending on level and position offered.

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