Sr Machine Learning Engineer

工作 ID 10100874 地點西雅圖, 华盛顿州, 美國 / 洛杉磯, 加利福尼亚州, 美國 / 旧金山, 加利福尼亚州, 美國 / 圣莫尼卡, 加利福尼亚州, 美國 有意工作的公司 Disney Entertainment & ESPN Technology 日期已公佈 Nov. 26, 2024

申請

工作概要:

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.

Our team is responsible for developing, implementing, and maintaining Hulu's recommendation and personalization algorithms. As part of this team, you will collaborate with Engineering, Product, and Data teams to apply machine learning techniques to achieve strategic personalization goals. You will explore innovative, cutting-edge methods for recommendations and constantly seek to optimize our processes. You will play a crucial role in reshaping the future of Hulu's recommendation system by challenging the status quo and making strategic technological decisions to enhance Hulu's business outcomes.

Responsibilities:

Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems and bring it to large-scale real-time recommendation pipeline; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams
Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools; deploy scalable streaming and batch data pipelines to support petabyte scale datasets
Development Best Practices: Maintain existing and establish new algorithm development, testing, and deployment standards
Collaborate with product and business stakeholders: Identify and define new personalization opportunities with product team and work with data teams to improve how we do data collection, experimentation and analysis

Basic Qualifications:

Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
5+ years of experience in developing highly scalable machine learning products
5+ years writing production-level, scalable Python codes
In-depth understanding of deep learning technology in recommendation system or NLP fields
Proficiency in at least one of the following deep learning framework, tensorflow, pytorch
Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark
Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment
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
Familiarity with Java and/or Scala programming languages
Production experience with developing content recommendation algorithms at scale and familiar with metadata management, data lineage, and principles of data governance
Building streaming data pipelines using Kafka, Spark, or Flink

#DISNEYTECH

The hiring range for this position in Los Angeles, CA is $138,900 - $186,200 per year, in San Francisco, CA $152,100 - $203,900 and in Seattle, WA is $145,400 - $195,000 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 & 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。

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

The Walt Disney Company 及其聯營公司是推動平等就業機會的僱主，歡迎所有求職者，包括殘疾人士及殘疾退伍軍人。如你是殘疾人士，並需要合理便利安排以搜尋職位空缺或申請職位，請將要求發送至Candidate.Accommodations@Disney.com。本電郵地址不擬用於一般僱傭查詢或通訊。我們只會回應與網上申請系統殘疾人士無障礙功能相關的要求。

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