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The Walt Disney Company. Be you. Be here. Be part of the story.

Be Part of the Story

Senior ML Engineer

申請 稍後繼續申請 Job ID 10097074 職位地點 西雅圖, 华盛顿州, 美國 有意工作的公司 The Walt Disney Company (Corporate) 張貼日期 2024/09/12

工作概要:

At Disney, we’re storytellers. We make the impossible, possible. The Walt Disney Company is a world-class entertainment and technological leader. Walt’s passion was to continuously envision new ways to move audiences around the world—a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences — and we’re constantly looking for new ways to enhance these exciting experiences.

The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence.

The Enterprise Cloud Data & Analytics team is part of the Cloud Data and Transformation Engineering team. The team’s primary function is to provide curated datasets to support business decisions and to help provide insights for the TWDC enterprise cloud spend and usage. Processes supported include monthly supplier invoice validation, monthly internal chargeback, forecasting, cost optimization, etc.

We apply best data engineering and business intelligence practices to data sources to generate business insights in the form of curated data. We also maintain the data system that supports secure, on-demand consumption of data by our internal consumers.

What You Will Do

  • Build ML Models

  • Build data pipelines, cleanse data, train models and inference predictive models to forecast.

  • Work closely with Product, Stakeholders, engineering groups to understand requirements and build hypothesis. 

  • Run experiments to prove hypothesis or create PoCs for different ML use cases.

  • Work with different algorithms and ML problem domains such as Forecasting, NLP, LLM, Regression and Classification.

  • Present results of experiments in a consumable fashion write ups/PPTs to VPs and other executives.

  • Monitor model performance and retrain models where necessary.

  • Follow MLOps best practices.

Responsibilities: 

  • Experience with frameworks and libraries for machine learning & AI such as scikit-learn PyTorch, Tensorflow/Keras, MLlib, etc.

  • Develop and maintain automated data solutions that ingest, transform and generate insights in the form of curated datasets.

  • Experience in building, deploying and managing forecasting models for time series datasets.

  • Experience with building batch and streaming pipelines using complex SQL, PySpark, and similar frameworks

  • Support and maintain the shared consumer data platform with regard to data organization, access, security and role appropriate access.

  • Analyze and model data to design data solutions that provide business insights.

  • Recognizing patterns and opportunities to consolidate implementations and/or create standards

  • Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way.

  • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts

  • Have a growth mindset and a desire to learn

  • Mentor team members by giving them actionable feedback

  • Be proactive and have initiative

  • Provide clear and concise communication to technical and non-technical audiences

Preferred Qualifications:

  • A minimum of 5 years of related work experience

  • Experience in running high quality data pipelines

  • Experience in Python, SQL, ETL, Data Analysis and data modeling and designing a data architecture.

  • Experience in Databricks, and building, managing and optimizing Spark jobs

  • Experience in AWS and Azure Cloud

 Nice To Haves:  

  • Databricks certification

  • Understanding of Financial operations and Finops

  • Good understanding of Large Language Models (LLMs).

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 Seattle, WA is $142,600 to $191,100. 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 The Walt Disney Company (Corporate):

在 The Walt Disney Company (Corporate),你會看到公司強大品牌背後各業務如何融會交流,建構出全球最創新、影響深遠和備受尊崇的娛樂公司。作為企業團隊的一份子,你將會與推動策略以讓The Walt Disney Company穩佔娛樂界頂尖地位的世界精英領袖一同工作。與其他具有創新精神的思想家惺惺相惜,同時讓這個世界上最偉大的故事敍述家為全球各地千百萬家庭締造回憶。

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 Worldwide Services, Inc., 其所屬的業務部門是 The Walt Disney Company (Corporate)

Disney Worldwide Services, Inc. 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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