Principal Machine Learning Engineer
Company: Disneyland Hong Kong
Location: New York
Posted on: March 5, 2025
Job Description:
On any given day at Disney Entertainment & ESPN Technology,
we're reimagining ways to create magical viewing experiences for
the world's most beloved stories while also transforming Disney's
media business for the future. Whether that's evolving our
streaming and digital products in new and immersive ways, powering
worldwide advertising and distribution to maximize flexibility and
efficiency, or delivering Disney's unmatched entertainment and
sports content, every day is a moment to make a difference to
partners and to hundreds of millions of people around the world.A
few reasons why we think you'd love working for Disney
Entertainment & ESPN Technology
- Building the future of Disney's media business: DE&E
Technologists are designing and building the infrastructure that
will power Disney's media, advertising, and distribution businesses
for years to come.
- Reach & Scale: The products and platforms this group builds and
operates delight millions of consumers every minute of every day -
from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and
ESPN+, and much more.
- Innovation: We develop and execute groundbreaking products and
techniques that shape industry norms and enhance how audiences
experience sports, entertainment & news.Job Summary:You will work
on creating the best-in-class Recommendations & Discovery
experiences for hundreds of millions of customers across Disney+,
Hulu, ABC and ESPN. You will collaborate with Data Science/ML and
Product teams to innovate on, develop and operate Recommendation
Systems at scale.This is an Individual Contributor leadership role
in content recommendations. You will be expected to lead
recommendation and personalization algorithm research, development,
and optimization for our streaming app personalization across
international regions we serve, and to coordinate requirements and
manage stakeholder expectations with Product, Engineering, and
Editorial teams. You will be expected to help meet KPIs for product
areas and to set and meet deadlines for external. As an IC leader,
you will also be responsible for helping to set the roadmap for
algorithmic work - not only for how to approach product requests
for new recommendation features, but for helping to drive larger
company objectives in the areas of personalization and content
recommendation.Responsibilities and Duties of the Role:
- Developing and prototyping state-of-the-art Deep Neural Net
algorithms for recommendation systems.
- Deliver a conceptual solution into production-level
implementation & operation at scale, for global user services.
- Quickly learn our complex streaming recommendation systems and
deep dive into individual components & systems as well as
understand overall framework/architecture.
- Identify impactful opportunities to improve our business
operations and develop practical solutions and plans to lift our
business KPI's.
- Drive business decisions by data driven and pragmatic
approach.
- Excellent written and oral communication skills.
- Leadership to technically guide a team of engineers and work
collaboratively with peers to achieve goals with deadline.Required
Education, Experience/Skills/Training:
- Track recordings of research & publications in recommendation
system domain with deep neural net algorithms.
- Strong proficiency in at least one of the following deep
learning frameworks: TensorFlow, PyTorch.
- Experience building and deploying full stack ML pipelines: data
extraction, data mining, model training, feature development,
testing, and deployment.
- Track record from design to full production of effective
recommendation systems.
- Experience with cloud services in a production environment
(particularly AWS).
- Understanding of statistical concepts (e.g., hypothesis
testing, regression analysis).
- Ability to articulate the usage and behavior of models and
algorithms to both technical and non-technical audiences.Preferred
Qualifications:
- PhD in statistics, math, computer science, or related
quantitative field.
- Developing reporting dashboards such as Tableau or Looker.
- Production experience with developing content recommendation
algorithms at scale and familiar with metadata management, data
lineage, and principles of data governance.
- Deep understanding in personalization challenges in homepage
experience and proven records of developing effective
solutions.Experience with:
- 10+ years of analytical experience.
- 8+ years of experience in developing highly scalable machine
learning products.
- 8+ years writing production-level, scalable Python
code.Required Education:
- Master's degree in Computer Science, Information Systems,
Software, Electrical or Electronics Engineering, or comparable
field of study, and/or equivalent work experience.
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Keywords: Disneyland Hong Kong, New York , Principal Machine Learning Engineer, Engineering , New York, New York
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