Sr Machine Learning Engineer

工作 ID 10100853 地點纽约, 纽约州, 美國 / 布里斯托尔, 康乃狄克州, 美國 / 圣莫尼卡, 加利福尼亚州, 美國 / 旧金山, 加利福尼亚州, 美國 / 西雅圖, 华盛顿州, 美國 有意工作的公司 Disney Entertainment & ESPN Technology 日期已公佈 Oct. 23, 2024

申請

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

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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:

Department/Group Overview:

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:

The Search Machine Learning (ML) team powers the ML aspects of search engines for Disney+ and Hulu platforms, in a highly collaborative environment. ML-based services are embedded inside the entire life cycle of search journey, from query understanding, semantic retrieval, and engagement-based re-ranking of contents. Working closely with our search core counterpart team and product stakeholders, we are constantly testing new ideas, and bringing the proven ones into fruition, through experimentation.

In this role, you will be responsible for maintaining and iterating on the training jobs and inference endpoints for our ML micro-services that power Hulu Search Engine. In this role, you will be partnering closely with data engineering/data science leads, and work together towards constant iterations on our state-of-the-art ML micro-services.

Responsibilities and Duties of the Role:

Design and develop batch training jobs (both on CPU and GPU) and inference endpoints on both on-prem and cloud resources.
Ensure healthy training configurations for tensorflow/pytorch training jobs, and serving layers (through both gRPC and REST).
Helping data scientists by packaging their model into well-known frameworks such as pyTorch, lightGBM, and ready for production.
Set up MLOps workflows (both deployment and maintenance) using the state-of-the-art MLOps tools.
Ability to work on multi-faceted projects with engineers from diverse backgrounds, heterogenous skills and across teams.
Work in an Agile environment that focuses on collaboration and teamwork

Required Education, Experience/Skills/Training:

Basic Qualifications

5+ years of software experience, with 3+ years of relevant ML and software experience
Knowledge of the Python/Java ecosystem.
Knowledge of either pyTorch or Tensorflow frameworks.
Experience deploying and running services in AWS.
Expertise with ML pipelines, algorithms, and statistical methods
Hands-on experience with customer-facing production ML models
Follow MLOps best practices

Preferred Qualifications

Experience with ML platforms, such as AWS SageMaker, Google Vertex AI, or any other ML platform.
Experience in adopting open source ML packages into the MLOps lifecycle.
Excellent communication and people engagement skills, and mentor colleagues on best practices and technical concepts of building large scale solutions

Required Education

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

The hiring range for this position in Los Angeles, CA, Santa Monica, CA, and Bristol, CT is $136,100.00 - $182,400.00 per year, in Seattle, WA and New York, NY is $142,600.00 - $191,100.00 per year and in San Francisco, CA $149,000.00 - $199,800.00 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。

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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