Principal Machine Learning Engineer

Job ID:

10106487Location:

San Francisco, California, United States / New York, New York, United States / Seattle, Washington, United StatesBusiness:

Disney Entertainment & ESPN TechnologyDate posted:

Dec. 04, 2024Job Summary:

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.You will work on creating the best-in-class Recommendations & Discovery experiences for hundreds of millions of customers across Disney+, Hulu, ABC and ESPN. You will collaborate with Data Science/ML and Product teams to innovate on, develop and operate Recommendation Systems at scale.This is an Individual Contributor leadership role in content recommendations. You will be expected to lead recommendation and personalization algorithm research, development, and optimization for our streaming app personalization across international regions we serve, and to coordinate requirements and manage stakeholder expectations with Product, Engineering, and Editorial teams. You will be expected to help meet KPIs for product areas and to set and meet deadlines for external and internally facing tools, such as offline evaluation tools for pre-production algorithms. As an IC leader, you will also be responsible for helping to set the roadmap for algorithmic work — not only for how to approach product requests for new recommendation features, but for helping to drive larger company objectives in the areas of personalization and content recommendation.Responsibilities and Duties of the Role:

Experience with algorithm and ML model implementation & operation at scale, for consumer facing experiencesAbility to deep dive into individual components & systems as well as understand overall framework/architecturePassion for consumer facing experiencesAnalytical, data driven and pragmatic approachExcellent written and oral communication skillsCollaborative, self-starterRequired Education, Experience/Skills/Training:

In-depth understanding of deep learning technology in recommendation system or NLP fieldsProficiency in at least one of the following deep learning frameworks: TensorFlow, PyTorchExperience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deploymentTrack record of deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and SparkExperience with cloud services in a production environment (particularly AWS)Understanding of statistical concepts (e.g., hypothesis testing, regression analysis)Ability to articulate the usage and behavior of models and algorithms to both technical and non-technical audiencesPreferred Qualifications:

MS or PhD in statistics, math, computer science, or related quantitative fieldDeveloping reporting dashboards such as Tableau or LookerProduction experience with developing content recommendation algorithms at scale and familiar with metadata management, data lineage, and principles of data governanceDeep understanding in personalization challenges in homepage experience and proven records of developing effective solutionsExperience:

10+ years of related analytical experience8+ years of experience in developing highly scalable machine learning products8+ years writing production-level, scalable Python codesRequired Education:

Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experienceCompensation:

The hiring range for this position in Los Angeles, CA is $202,900 - $272,100 per year, in San Francisco, CA $222,200 - $297,900 and in New York & Seattle, WA is $212,600 - $285,100 per year. The base pay 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, dependent on the level and position offered.About Disney Entertainment & ESPN Technology:

Disney Entertainment and ESPN Technology (DE&E Technology) provides the technological backbone and product development for Disney’s two media business units, while helping to keep the company at the vanguard of innovation – enabling the Company to continuously leverage technology to enhance storytelling and creativity, while delivering scalability, flexibility, and efficiency for its businesses.About The Walt Disney Company:

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family.This position is with Disney Streaming Technology LLC, which is part of a business we call Disney Entertainment & ESPN Technology.Disney Streaming Technology LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law.

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