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Sr. Machine Learning Engineer

United States, Burbank · Job Posted January 01, 2026
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Job Description

We are seeking a Machine Learning Engineer to join our StudioLAB team – an innovation-focused group that shapes the next generation of creative and production technology across Studios. This is a 12-month assignment with the possibility of extension based on project needs and performance. In this role, you'll directly drive innovation across our cinematic pipelines and theatrical experiences, applying cutting-edge ML techniques to solve unique creative challenges that impact globally recognized entertainment products. This individual contributor position offers a rare blend of technical ML work with creative applications, allowing you to see your solutions come to life in major films and experiences. We are a diverse and welcoming team who focus on collaborative and supportive ways of working.

Job Responsibility

  • Design, develop, debug and deploy new applications of machine learning using frameworks such as PyTorch and TensorFlow
  • Implement ML models for diverse use cases including computer vision, generative AI, and optimization problems
  • Participate in the full ML lifecycle from data preparation to model deployment and monitoring
  • Test and benchmark academic papers, ML applications and tools to identify cutting-edge approaches
  • Stay current with ML research trends and evaluate their potential application to studio needs
  • Contribute to internal knowledge sharing and potentially external publications
  • Guide technology transfer both to and from external teams and research partners
  • Work closely with our partners across the Studios to understand and address their technical needs
  • Communicate complex ML concepts to both technical and non-technical stakeholders
  • Maintain high code quality standards with proper testing, documentation and version control
  • Optimize ML models for production environments
  • Contribute to our ML infrastructure and tooling

Requirements

  • Master's degree in Computer Science, Machine Learning, or related technical field with 5+ years of professional experience
  • Strong track record of developing and deploying machine learning models in production environments
  • 7+ years of Python software engineering experience with a focus on building scalable applications
  • Proficient in modern ML frameworks and libraries (PyTorch, TensorFlow, Scikit-learn)
  • Experience with software development best practices (Git, testing, code reviews)
  • Strong understanding of ML fundamentals including model training, validation and evaluation methods
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker)
  • Knowledge of data structures, algorithms, and system design principles
  • Excellent problem-solving skills and ability to work independently and as part of a team
  • Strong communication skills with the ability to explain completed technical concepts clearly
  • Experience deploying ML in production environments with consideration for scalability and reliability

Nice to have

  • Experience deploying ML in a large-scale, distributed environment
  • Familiarity with Docker or other containerization systems
  • Experience with cloud platforms (AWS, GCP, Azure)
  • Understanding of MLOps practices and tools
  • Background in areas such as computer vision, graphics, generative AI, machine learning, or simulation
  • Experience working in a production software development environment with automated testing and build tools
  • Prior work in entertainment, media, or creative industries
  • C++ experience is a plus

What we offer

  • medical, dental, and vision coverage
  • a 401(k) with company match
  • short-term disability
  • life insurance with AD&D
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