Description
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 their businesses. They are storytellers and innovators, creators and builders, entertainers and engineers.
The Ad Platforms organization within Disney Entertainment and ESPN Technology is responsible for building, enhancing, and maintaining high-performance, distributed, microservice-based Advertising Platforms across all of Disney's online properties, including Hulu and ESPN+. They build and maintain proprietary technology, ranging from ad serving and ad delivery, campaign management, reporting, and integrations.
The mission is to advance AI and machine learning capabilities across Ad Platforms by delivering scalable, high-impact AI/ML and data science solutions that enhance various aspects of ad serving.
Job Summary:
As a Manager, Machine Learning Engineering - Ad Platforms, you will apply your experience, technical knowledge of software and systems, including Machine Learning and AI technologies, and leadership skills to guide the ML/AI team to design and build scalable, performant, maintainable, and testable models and pipelines.
Responsibilities and Duties of the Role:
- Lead, mentor, and guide Data Scientists, Machine Learning, and AI engineers to build solutions adhering to industry best practices and deliver scalable solutions.
- Lead by example and strive to improve design for more scalable, cleaner, and decoupled implementations.
- Drive adoption of best practices in model development, code quality, testing, and documentation.
- Define strategic direction for machine learning projects and collaborate with product and engineering stakeholders.
- Oversee end-to-end machine learning workflow, including data collection, model development, deployment, and modeling.
- Foster innovation by exploring new ML techniques, tools, and technologies.
- Communicate strategies, progress, and results to leadership and cross-functional teams.
- Ensure responsible AI practices, including fairness, explainability, and compliance with privacy and ethical standards.
Basic Qualifications:
- Bachelor's or master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
- 8+ years of relevant industry experience, with at least 2-3 years in a people-management or technical leadership role.
- Proven ability to translate business problems into scalable ML and GenAI solutions and strong understanding of machine learning fundamentals, deep learning, and statistical modeling.
Benefits:
The hiring range for this position in Santa Monica, CA is $174,100.00 - $233,500.00 per year and Seattle, WA is $182,400.00 - $244,600.00 per year. The base pay actually offered will take into account internal equity and may vary depending on the candidate's 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.