Senior Machine Learning Engineer

工作 ID 10121386 地點旧金山, 加利福尼亚州, 美國 / 圣莫尼卡, 加利福尼亚州, 美國 / 纽约, 纽约州, 美國 / 西雅圖, 华盛顿州, 美國 / 洛杉磯, 加利福尼亚州, 美國 有意工作的公司 Disney Entertainment and ESPN Product & Technology 日期已公佈 Jun. 25, 2025

申請

工作概要:

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 our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.

Disney Entertainment & ESPN Product 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:

Our team develops and maintains state-of-the-art recommendation and personalization algorithms that serve hundreds of millions of users across Disney+, Hulu, ABC, and ESPN. As a key member of this team, you will collaborate closely with Engineering, Product, and Data teams to apply advanced machine learning techniques in support of strategic personalization initiatives. This is an Individual Contributor role focused on content recommendations. You will lead the research, development, deployment, and optimization of recommendation and personalization algorithms across product surfaces. You will also play a critical role in aligning technical solutions with stakeholder requirements and expectations, partnering with Product, Engineering, and Editorial teams. Beyond execution, you will help define the roadmap for algorithmic innovation—shaping approaches to feature development and contributing to broader company goals in the personalization and recommendation space.

We are seeking a Senior Machine Learning Engineer to contribute to the development and deployment of cutting-edge recommendation and personalization algorithms that power user experiences across Disney+, Hulu, ABC, and ESPN. As a member of our team, you will work closely with Product, Engineering, and Data teams to build intelligent systems that serve hundreds of millions of users worldwide. In this role, you will be responsible for designing, implementing, and optimizing machine learning models for content recommendation and user personalization. You’ll take ownership of key projects, contribute to technical design and experimentation, and help translate product needs into scalable ML solutions. This is a strong individual contributor role for engineers with a solid foundation in machine learning and a passion for applied work in large-scale, real-world environments. You will have opportunities to grow your technical influence, deepen your domain expertise, and help drive innovation across personalization surfaces.

Responsibilities:

Developing and prototyping state-of-the-art Deep Neural Net algorithms for recommendation systems
Deliver a conceptual solution into production-level implementation & operation at scale, for global user services
Quickly learn our complex streaming recommendation systems and deep dive into individual components & systems as well as understand overall framework/architecture
Identify impactful opportunities to improve our business operations and develop practical solutions and plans to lift our business KPI’s.
Drive business decisions by data driven and pragmatic approach
Excellent written and oral communication skills

Basic Qualifications:

Strong proficiency in at least one of the following deep learning frameworks, tensorflow, pytorch
Experiences building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment
Track record from design to full production of effective recommendation systems
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 qualifications:

MS or PhD in statistics, math, computer science, or related quantitative field
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:

5+ years of experience in developing highly scalable machine learning products
5+ 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

The hiring range for this position in New York, NY & Seattle, WA is $145,400 to $195,000 per year, in Los Angeles/Santa Monica, CA is $138,900 to $186,200 per year and in San Francisco, CA is $152,100 to $203,900 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.

申請

關於Disney Entertainment and ESPN Product & Technology:

在Disney Entertainment and ESPN Product & Technology，我們結合想像力與創新，以重新想像人們體驗和參與世上最受歡迎故事和產品的方式。我們的工作內容廣泛，且精深細密。我們創造令人驚豔的體驗、改變媒體的未來，並打造產品和平台，讓世界各地的人們都能與自己喜愛的故事和體育活動緊密相連。

Disney結合世界級技術與獨特創意，因而與眾不同。這是我們過去、現在和未來的核心。我們是故事敍述者和創新者。創作者和創建者。表演者和工程師。

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 and ESPN Product & 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。

我們將根據適用法律考慮聘用具有案底的合資格求職者。

就業申請的殘疾便利安排

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