Manager, Machine Learning - Ad Platforms
USA - CA - 2450 Broadway
Full Time Mid-level / Intermediate USD 167K - 246K
The Walt Disney Company
The mission of The Walt Disney Company is to be one of the world's leading producers and providers of entertainment and information.Job Posting Title:
Manager, Machine Learning - Ad PlatformsReq ID:
10106543Job Description:
Disney Entertainment & ESPN Technology
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.
Ad Platform Machine Learning Platform Team is responsible for providing a machine learning platform in AWS, Databricks for the data engineering, data science, machine learning research teams to build upon. We cover a wide range of machine learning and AI tools and support these as well as the production environment. The individual we are looking for will provide leadership in all these areas.
Key Responsibilities
Lead team planning and coordination within each sprint
Coordinate with the other Ad Platform engineering and research teams
Build and maintain machine learning platform (Tensorflow, Pytorch, XGboost, etc.) supporting ML/AI model development
Build and maintain Spark and Flink data pipelines supporting machine learning/AI application
Troubleshoot issues between teams with respect to project initiatives and technical dependencies
Mentor team members and participate in their growth as engineers.
Guide technical solutions to ensure they align with business needs and timelines
Basic Qualifications:
Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
2+ years engineering management experience
8+ years of software development experience with python, Go or Scala
4+ years of machine learning engineering experience
4+ years of big data development experience
Demonstrable analytical/problem solving skills
Great communication, collaboration skills and a strong teamwork ethic with both technical and non-technical audiences
Preferred Qualification:
Experience with Tensorflow, Pytorch, XGboost
Experience managing Spark and/or Flink on Databricks or on Kubernetes/EKS
Experience with GenAI and LLM
Experience with AWS
Experience managing Databricks environments on AWS
Experience with Apache Airflow
Ad Tech industry experience
Job Posting Segment:
Ad PlatformsJob Posting Primary Business:
AP - Software EngineeringPrimary Job Posting Category:
Machine LearningEmployment Type:
Full timePrimary City, State, Region, Postal Code:
Santa Monica, CA, USAAlternate City, State, Region, Postal Code:
USA - CA - Market St, USA - WA - 925 4th AveDate Posted:
2024-11-15Tags: Airflow AWS Big Data Computer Science Databricks Data pipelines Engineering Flink Generative AI Kubernetes LLMs Machine Learning ML models Pipelines Python PyTorch Research Scala Spark Streaming TensorFlow XGBoost
Perks/benefits: Career development Equity / stock options Salary bonus
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