Principal Machine Learning Engineer
工作概要:
Disney Entertainment & ESPN Technology
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.
A few reasons why we think 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 and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.
Job Summary:
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 experiences
Ability to deep dive into individual components & systems as well as understand overall framework/architecture
Passion for consumer facing experiences
Analytical, data driven and pragmatic approach
Excellent written and oral communication skills
Collaborative, self-starter
Required Education, Experience/Skills/Training:
In-depth understanding of deep learning technology in recommendation system or NLP fields
Proficiency in at least one of the following deep learning frameworks, tensorflow, pytorch
Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment
Track record of deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark
Experience 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 audiences
Preferred qualification:
MS or PhD in statistics, math, computer science, or related quantitative field
Developing reporting dashboards such as Tableau or Looker
Production experience with developing content recommendation algorithms at scale and familiar with metadata management, data lineage, and principles of data governance
Deep understanding in personalization challenges in homepage experience and proven records of developing effective solutions
Experience with:
10+ years of related analytical experience
8+ years of experience in developing highly scalable machine learning products
8+ years writing production-level, scalable Python codes
Required Education
Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
#DISNEYTECH
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 actually offered will take into account internal equity and also 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.
關於Disney Entertainment & ESPN Technology:
Disney Entertainment 和 ESPN Technology (DE&E Technology) 為 Disney 的兩個媒體業務部門提供技術骨幹和產品開發,同時幫助公司處於創新尖端,使公司能夠不斷利用技術增強故事講述和創造力,同時為其業務提供可擴展性、靈活性和效率
關於 The Walt Disney Company:
Walt Disney Company 連同其子公司和聯營公司,是領先的多元化國際家庭娛樂和媒體企業,其業務主要涉及三個範疇:Disney Entertainment、ESPN 及 Disney Experiences。Disney 在 1920 年代的起步之初,只是一間卡通工作室,至今已成為娛樂界的翹楚,並昂然堅守傳承,繼續為家庭中每位成員創造世界一流的故事與體驗。Disney 的故事、人物與體驗傳遍世界每個角落,深入人心。我們在 40 多個國家/地區營運業務,僱員及演藝人員攜手協力,創造全球和當地人們都珍愛的娛樂體驗。
這個職位隸屬於 Disney Streaming Technology LLC,其所屬的業務部門是 Disney Entertainment & ESPN Technology。
Disney Streaming Technology LLC 是提供平等就業機會的僱主。求職者都會獲得聘僱考量的機會,不分種族、宗教、膚色、生理性別、性傾向、社會性別、性別認同、性別表達、原國籍、血統、年齡、婚姻狀態、軍人或退伍軍人身份、醫療狀況、遺傳資訊或殘疾狀況、或者聯邦、州級或地方法律所禁止的其他任何基本特徵。Disney 提倡讓所有人的想法和決策都有助我們發展、創新、創造最好故事的商業環境,並與瞬息萬變的世界息息相關。
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