Principal Data Architect
樂享魔法
員工和演藝人員是我們一切工作的核心,因此 Disney 提供具有競爭力的全面獎勵方案,包括薪資、健康和儲蓄福利、休假計劃、教育機會等。
*福利和資格可能因企業和地點而異
- 健康保險與健康
- 托兒選項
- 有薪假期
- 退休計劃
- 學費援助
- 每週支薪
在迪士尼有很多成長和學習的機會!工作中永遠不會有沉悶的時刻。
Diana, Principal Counsel
工作概要:
“We Power the Magic!” That’s our motto at Disney Experiences (DX) Tech & Digital. Our team creates world-class immersive digital experiences for the Company’s premier vacation brands. We deliver experiences to consumers through our Disney’s Parks & Resorts worldwide, Disney Cruise Lines, and Disney Vacation Club. We are responsible for the end-to-end digital and physical Guest experience for all technology & digitally led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation and Merchandise lines of business, as well as other initiatives such as Hey, Disney!
This role sits in the JedAI Platform team as a Principal Data Architect and will report to the Sr. Manager.
In this role, you will be positioned as an expert in Generative AI across Disney Experiences specifically driving advanced data architectures. This role will be responsible for delivery of high-quality AI solutions within highly visible strategic projects and requires active collaboration with cross-functional teams.
Responsibilities:
Assess both internal and external business and product requirements providing sophisticated guidance and innovative solutions for generative AI applications and storage for evolving needs and industry standards.
Design, develop and lead the strategic implementation of advanced, scalable, high-performing generative AI architectures, including data pipelines, model training frameworks, and deployment strategies.
Leverage profound technical expertise, specifically integrating sophisticated automation and advanced automation methodologies like big data, AI and machine learning to ensure the quality, consistency, and security of data used to train and run generative AI models.
Stay at the forefront of generative AI research and development, identifying new techniques and tools to improve model performance and efficiency.
Establish and uphold exacting design and governance frameworks for the ethical and responsible use of generative AI technologies.
Engage in estimation planning, providing technical recommendations and solutions during planning activities and contribute to proposal development.
Communicate complex AI concepts clearly and concisely to both technical and non-technical audiences.
Monitor, evaluate, and optimize generative AI solutions to ensure they meet business objectives.
Document and share knowledge to foster a culture of continuous learning and improvement within the team.
Operationalize best practices around different vector search technologies search as neo4j, Vertex Search, Elastic Search, Weaviate etc.
Evaluate NLP outcomes with data science metrics and implement outcome monitoring and feedback loop into the data pipeline.
Qualifications:
10+ years related work experience. Proven experience in designing and building scalable data architectures for machine learning / AI applications.
In-depth knowledge of generative AI models (e.g., GANs, VAEs) and their applications.
Experience with RAG, vector stores, sematic search, chunking strategies, embedding models, and large data handling for LLMs.
Strong understanding of data engineering principles and best practices (e.g., data cleansing, transformation, feature engineering).
Experience working with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
Excellent communication, collaboration, and problem-solving skills.
Ability to translate business needs into technical solutions.
Passion for innovation and a commitment to ethical AI development.
Experience building LLMs pipeline using framework like LangChain, LlamaIndex, Semantic Kernel, OpenAI functions .
Familiar with different LLM parameters like temperate, top-k, and repeat penalty, and different LLM outcome evaluation data science metrics and methodologies.
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.
Preferred Education:
Master’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 Glendale, CA is $180,700 to $242,300 per year and in Seattle, WA is $189,300 to $253,800 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 Experiences:
Disney Experiences 透過世界各地的主題公園、度假村、郵輪、獨特的度假體驗、產品等,將迪士尼故事和特許經營權的魔力帶入生活。迪士尼在旅遊業中大放異彩,在美國、歐洲和亞洲擁有六大度假勝地;一流的郵輪航線;廣受歡迎的度假擁有權計劃;以及屢獲殊榮的家庭探險導遊業務。此外,迪士尼的全球消費品業務還包括全球領先的授權業務、全球最大的兒童出版品牌、全球最大的跨平台遊戲授權商之一,以及遍佈全球和網絡的迪士尼商店。
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 Shopping, Inc.,其所屬的業務部門是 Disney Experiences。
Disney Shopping, 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。
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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無論您是主題公園發燒友、觀鳥者、美食家、水上運動狂熱分子、日光浴愛好者、藝術贊助人、認真的購物者,還是介乎當中兩者之間的任何一種人,奧蘭多都能給您無窮無盡的可能性。而奇觀總是觸手可及。
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