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Urgent! Lead Machine Learning Engineer, Ad Platforms Job Opening In Seattle – Now Hiring Disney Entertainment and ESPN Product & Technology
Job Summary:
Technology is at the heart of Disney’s past, present, and future.
Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.
The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses.
We are Storytellers and Innovators.
Creators and Builders.
Entertainers and Engineers.
We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.
Here are a few reasons why we think you’d love working here:
Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories.
Disney+.
Hulu.
ESPN.
ABC.
ABC News…and many more.
These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally.
Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.
Ad Platforms is responsible for Disney’s industry-leading ad technology and products – driving advertising performance, innovation, and value in Disney’s sports, news, and entertainment content, across all media platforms.
The Ad Platform research team is under Ad Platforms and its mission is to transform advertising and Disney's Ad platform with AI and data science.
We build solutions to measure and optimize every aspect of the advertising life cycle.
Our tenant is a strong cross-domain team to deliver E2E solutions for machine learning and data science.
Our team is seeking a Lead Machine Learning Engineer who will be an outstanding addition and leading development for prediction or optimization engines for addressable ad platforms.
The right person for this role should be experienced in crafting implementation for either machine learning technologies or data-driven algorithms.
If you are someone who is proactive and innovative in these domains, this is a phenomenal role for you!
Responsibilities:
Drive ground-breaking innovation and apply state of the art AI and machine learning in a variety of areas to enhance every aspect of advertising, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery.
Invent and iterate novel solutions for complex ad challenges with fast turnaround.
Lead the ad algorithm architecture design and iteration of the advertising system.
Develop scalable and efficient approaches for large scale data analysis and model development.
Build and experiment new algorithms and models end-to-end, from production rollout to continuous optimization.
Collaborate with engineering teams, product managers, and program managers in an open and creative environment.
Mentor team members and support their technical growth.
Basic Qualifications:
7+ years of relevant engineering experience working at enterprise level technology companies.
Strong knowledge of and experience implementing AI/ML technologies, mathematics, and statistics.
Proficient in Java, Python, Scala, large scale ML/DL platforms and processing tech stack.
Ability to collaborate with and lead projects across cross-functional teams such as Product Management, Architecture, and other Engineering teams
Passionate about understanding the ad business, applying advanced research to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness.
Passionate about technology, open to interdisciplinary collaborations, and experienced in building data-driven services and applications.
A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required.
Preferred Qualifications:
Experience in large scale machine learning
Experience in LLM and GenAI
Experience with forecasting algorithms
Experience with CTR/CVR model, generative AI, forecasting model
Experience with feature store, audience segmentation and MLOps
Experience with Tensorflow, Kubeflow or Sagemaker
Experience in the advertising, digital video advertising, or digital marketing domain
Required Education:
Bachelor's degree in computer science, Information Systems or related equivalent experience.
Preferred Education:
Master’s degree in computer science, Information Systems or related equivalent experience.
#DISNEYTECH
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Unlock Your Lead Machine Potential: Insight & Career Growth Guide
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Great news! Disney Entertainment and ESPN Product & Technology is currently hiring and seeking a Lead Machine Learning Engineer, Ad Platforms to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Disney Entertainment and ESPN Product & Technology adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Lead Machine Learning Engineer, Ad Platforms Jobs United States varies, but the pay scale is rated "Standard" in Seattle. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Lead Machine Learning Engineer, Ad Platforms typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Lead Machine Learning Engineer, Ad Platforms interview at Disney Entertainment and ESPN Product & Technology, research the company, understand the job requirements, and practice common interview questions.
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