Disneyland Hong Kong
Senior Machine Learning Engineer, Ad Platforms
Disneyland Hong Kong, Seattle, Washington, us, 98127
Senior Machine Learning Engineer, Ad Platforms
Technology is at the heart of Disneys 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 Disneys 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 Companys 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 youd love working here: Building the future of Disneys 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, Disneys technology and products serve as a signature doorway for fans' connections with the companys brands and stories. Disney+. Hulu. ESPN. ABC. ABC Newsand 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 Disneys industry-leading ad technology and products driving advertising performance, innovation, and value in Disneys 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 team is pursuing cross-domain collaboration to deliver end-to-end solutions for machine learning and data science. Our team is seeking a
Senior Machine Learning Engineer
who will focus on machine learning algorithm development for addressable ad platforms. The right person should be experienced in crafting implementations for machine learning technologies or data-driven algorithms. If you are 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 with 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. Basic Qualifications 5+ years of relevant engineering experience at leading 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. 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. Preferred Qualifications: Experience in large-scale machine learning. Experience in LLM and GenAI. Experience with CTR/CVR models, generative AI. Experience with feature stores, 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: Masters degree in computer science, Information Systems or related equivalent experience. #DISNEYTECH Compensation The hiring range for this position in WA is $145,400.00 to $195,000.00 per year and in CA is $138,900.00 to $203,900.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidates geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Other Information:
DISNEYTECH Disability Accommodation for Employment Applications The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability. #J-18808-Ljbffr
Technology is at the heart of Disneys 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 Disneys 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 Companys 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 youd love working here: Building the future of Disneys 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, Disneys technology and products serve as a signature doorway for fans' connections with the companys brands and stories. Disney+. Hulu. ESPN. ABC. ABC Newsand 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 Disneys industry-leading ad technology and products driving advertising performance, innovation, and value in Disneys 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 team is pursuing cross-domain collaboration to deliver end-to-end solutions for machine learning and data science. Our team is seeking a
Senior Machine Learning Engineer
who will focus on machine learning algorithm development for addressable ad platforms. The right person should be experienced in crafting implementations for machine learning technologies or data-driven algorithms. If you are 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 with 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. Basic Qualifications 5+ years of relevant engineering experience at leading 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. 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. Preferred Qualifications: Experience in large-scale machine learning. Experience in LLM and GenAI. Experience with CTR/CVR models, generative AI. Experience with feature stores, 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: Masters degree in computer science, Information Systems or related equivalent experience. #DISNEYTECH Compensation The hiring range for this position in WA is $145,400.00 to $195,000.00 per year and in CA is $138,900.00 to $203,900.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidates geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Other Information:
DISNEYTECH Disability Accommodation for Employment Applications The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability. #J-18808-Ljbffr