Disney - Burbank, CA

posted 3 months ago

Full-time - Senior
Burbank, CA
Motion Picture and Sound Recording Industries

About the position

As the Director of Engineering with a focus on Machine Learning (ML) Integration at The Walt Disney Studios, you will play a pivotal role in leading a newly formed Machine Learning Center. This position is designed for a seasoned professional who can drive machine learning initiatives and deliver meaningful business outcomes. You will be at the forefront of technology and innovation, embedding AI into the product development processes across various teams. Your leadership will be crucial in enhancing software applications with advanced AI capabilities, ensuring that projects are delivered on time and within budget. You will also be responsible for ensuring that product teams are well-versed in best practices and design patterns necessary for integrating ML models into both existing and newly developed applications. In this role, you will build and direct the ML Engineering team, ensuring strategic alignment with broader business goals. You will develop and implement a roadmap for integrating ML capabilities across multiple product teams, embedding ML engineering resources into existing product development teams to facilitate smooth collaboration and integration of ML technologies. You will champion the development and dissemination of best practices and design patterns for ML integration, ensuring that all product teams are trained and proficient in these methodologies. Additionally, you will work closely with other Studio Technology engineering leaders and product managers to ensure that ML integration supports the overall product strategy and meets operational needs. Your responsibilities will also include cultivating a culture of innovation and continuous learning within the ML Engineering team, mentoring team members for professional growth and development, and maintaining regular communication with senior management and other stakeholders to provide updates on project status, risks, and future plans.

Responsibilities

  • Build and direct the ML Engineering team, ensuring strategic alignment with broader business goals.
  • Develop and implement a roadmap for integrating ML capabilities across multiple product teams.
  • Embed ML engineering resources into existing product development teams, facilitating smooth collaboration and integration of ML technologies.
  • Champion the development and dissemination of best practices and design patterns for ML integration.
  • Ensure that all product teams are trained and proficient in ML methodologies.
  • Work closely with other Studio Technology engineering leaders and product managers to ensure ML integration supports overall product strategy.
  • Cultivate a culture of innovation and continuous learning within the ML Engineering team.
  • Mentor team members for professional growth and development.
  • Maintain regular communication with senior management and stakeholders, providing updates on project status, risks, and future plans.

Requirements

  • At least 10+ years of experience in software engineering, with significant experience leading engineering teams, preferably in an environment where ML was a key component.
  • Strong understanding of machine learning, with hands-on experience in integrating ML models into production-level applications.
  • Ability to devise strategic plans for technology integration that align with business goals.
  • Proficient in problem-solving and analytical thinking to overcome challenges.
  • Capability to adapt to changing technology landscapes and foresee how to leverage technology in new ways to benefit the company.
  • Deep understanding of machine learning algorithms, frameworks (TensorFlow, PyTorch), and distributed computing platforms (Spark, Hadoop).
  • Strong software engineering skills with experience in building and maintaining complex systems.

Nice-to-haves

  • Advanced degree in Computer Science, Engineering, or a related field.
  • Experience leading and managing the integration of machine learning models into production systems.
  • Experience building and scaling ML training data pipelines is a plus.
  • Professional experience in the entertainment or technology sectors, particularly in roles that blend creative and technological challenges.
  • Certifications in project management and/or Agile methodologies.

Benefits

  • Health insurance
  • Childcare options
  • Paid time off
  • Retirement programs
  • Tuition assistance
  • Weekly pay
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