Walt Disney
Lead Machine Learning Engineer, Ad Platforms
Walt Disney, Santa Monica, California, United States, 90403
Job Posting Title:
Lead Machine Learning Engineer, Ad Platforms Req ID:
10106544 Job Description: Disney Entertainment & ESPN Technology is reimagining ways to create magical viewing experiences for the world’s most beloved stories while transforming Disney’s media business for the future. Whether evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference for partners and hundreds of millions of people around the world. A few reasons why 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 delight millions of consumers every minute of every day. Innovation:
We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment, and news. Ad Platforms organization:
The Ad Platforms organization is responsible for building, enhancing, and maintaining the high-performance, distributed, microservice-based Advertising Platform across all of Disney's online properties, including Hulu and ESPN+. We build and maintain proprietary technology, ranging from ad serving and ad delivery to campaign management and reporting. WHAT YOU’LL DO: Drive innovation and apply state-of-the-art AI and machine learning 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. 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. Mentor team members and support their technical growth. Minimum Qualifications: Bachelor's Degree in computer science or related field. 7+ years of relevant engineering experience at leading technology companies. Strong knowledge of and experience implementing AI/ML technologies, mathematics, and statistics. Ability to collaborate with and lead projects across cross-functional teams. Proficient in Java, Python, Scala, and large-scale ML/DL platforms. Passionate about understanding the ad business and seeking innovation opportunities. Proven track record of thriving in a fast-paced, data-driven, and collaborative work environment. NICE-TO-HAVES: MS or PhD in computer science or equivalent experience. Experience in the advertising domain. Experience in large-scale machine learning. Experience in LLM and GenAI. Experience with forecasting algorithms. Experience in digital video advertising or digital marketing. Experience with CTR/CVR models, generative AI, and forecasting models. Experience with feature store, audience segmentation, and MLOps. Experience with TensorFlow, Kubeflow, or SageMaker. Compensation:
The hiring range for this position in Seattle, WA is $175,800-235,700 per year, in Los Angeles, CA area is $167,700-$224,900, and in San Francisco Bay Area is $183,700-$246,400 per year. The base pay will take into account internal equity and may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience. 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. Job Posting Segment:
Ad Platforms Primary Job Posting Business:
AP - Software Engineering Primary Job Posting Category:
Machine Learning Employment Type:
Full time Primary City, State, Region:
Santa Monica, CA, USA Date Posted:
2024-11-25
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Lead Machine Learning Engineer, Ad Platforms Req ID:
10106544 Job Description: Disney Entertainment & ESPN Technology is reimagining ways to create magical viewing experiences for the world’s most beloved stories while transforming Disney’s media business for the future. Whether evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference for partners and hundreds of millions of people around the world. A few reasons why 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 delight millions of consumers every minute of every day. Innovation:
We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment, and news. Ad Platforms organization:
The Ad Platforms organization is responsible for building, enhancing, and maintaining the high-performance, distributed, microservice-based Advertising Platform across all of Disney's online properties, including Hulu and ESPN+. We build and maintain proprietary technology, ranging from ad serving and ad delivery to campaign management and reporting. WHAT YOU’LL DO: Drive innovation and apply state-of-the-art AI and machine learning 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. 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. Mentor team members and support their technical growth. Minimum Qualifications: Bachelor's Degree in computer science or related field. 7+ years of relevant engineering experience at leading technology companies. Strong knowledge of and experience implementing AI/ML technologies, mathematics, and statistics. Ability to collaborate with and lead projects across cross-functional teams. Proficient in Java, Python, Scala, and large-scale ML/DL platforms. Passionate about understanding the ad business and seeking innovation opportunities. Proven track record of thriving in a fast-paced, data-driven, and collaborative work environment. NICE-TO-HAVES: MS or PhD in computer science or equivalent experience. Experience in the advertising domain. Experience in large-scale machine learning. Experience in LLM and GenAI. Experience with forecasting algorithms. Experience in digital video advertising or digital marketing. Experience with CTR/CVR models, generative AI, and forecasting models. Experience with feature store, audience segmentation, and MLOps. Experience with TensorFlow, Kubeflow, or SageMaker. Compensation:
The hiring range for this position in Seattle, WA is $175,800-235,700 per year, in Los Angeles, CA area is $167,700-$224,900, and in San Francisco Bay Area is $183,700-$246,400 per year. The base pay will take into account internal equity and may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience. 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. Job Posting Segment:
Ad Platforms Primary Job Posting Business:
AP - Software Engineering Primary Job Posting Category:
Machine Learning Employment Type:
Full time Primary City, State, Region:
Santa Monica, CA, USA Date Posted:
2024-11-25
#J-18808-Ljbffr