DISNEYのLead Machine Learning Engineer Skip Navigation
The Walt Disney Company. Be you. Be here. Be part of the story.

Be Part of the Story

Lead Machine Learning Engineer

応募 後で応募 Job ID 10102659 勤務地-都市 サンタモニカ, カリフォルニア州, アメリカ合衆国 / サンフランシスコ, カリフォルニア州, アメリカ合衆国 / ニューヨーク, ニューヨーク州, アメリカ合衆国 / シアトル, ワシントン州, アメリカ合衆国 勤務地-国 Disney Entertainment & ESPN Technology 掲載日 2024/11/04

仕事内容:

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. 

User Household 

The User Household team builds critical User Capabilities that are shared across all experiences on the streaming services: Disney+, Hulu, ESPN+ and Star+. We implement reliable, high-throughput services and pipelines for gathering information about our users, and delivering personalized experiences. We're a fast-paced, dynamic, collaborative and fun team, and are looking for someone who can slot right in and start delivering from day 1.  

Job Summary: 

As a Lead Machine Learning Engineer, you will collaborate closely with engineers, project managers, and product managers to find the best solution for our viewers. You will drive projects end-to-end: leveraging ML techniques to design the initial solution; finding alignment with partner teams; execution of the necessary code; and overseeing the deployment of code to production. Members of the team look to your code and documentation as examples of excellence. You value good-faith collaboration, driving best practices, and promoting excellence on your team. If this sounds like you, we would love to hear from you! 

Responsibilities and Duties of the Role: 

  • Leverage knowledge of ML methods and techniques to design new Machine Learning solutions and drive alignment across engineering and product teams. 

  • Write code to implement new ML features or optimize existing services. 

  • Expertly break down work at the epic level, setting project milestones with reasonable deadlines. 

  • Prioritize work within a project to deliver on the most necessary or urgent requirements. 

  • Anticipate and mitigate risk on projects. 

  • Effectively communicate with stakeholders on project progress. 

  • Actively participate in daily stand-ups and other scrum ceremonies. 

  • Determine the most efficient means to sufficiently test new code: unit tests, integration tests, performance tests, etc. 

  • Set best practices for the team for on-call responsibilities such as deployments, monitoring, and investigating incidents 

  • Use logs, monitoring tools, and work with developers to determine root causes across distributed components. 

  • Perform code reviews for members of the team, bearing a sense of responsibility for approved code. 

  • Coach and mentor teammates in an open, respectful, flexible, empathetic manner. Help onboard new team members. 

Required Education, Experience/Skills/Training: 

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 

  • 7+ years of related experience crafting and operating Machine learning services. 

  • 1+ years of related experience crafting and operating large-scale, high-availability backend services. 

  • Experience crafting and operating JVM services (such as Java, Scala, Kotlin). 

  • Proven track record of designing and driving consensus on backend architectures. 

  • Deep understanding of and experience using caching technologies (such as Redis, Memcached, EHcache). 

  • Strong grasp of computer science fundamentals (data structures, algorithms, databases, etc). 

  • Strong understanding of design patterns and principles. 

  • Experience with asynchronous programming. 

  • Experience with object-oriented programming patterns. 

  • Experience with functional programming patterns. 

  • Experience using source control systems and CI/CD pipelines (such as git, Github, Jenkins). 

  • Experience with AGILE/Scrum practices. 

  • Skilled at work breakdown and task estimation. 

  • 1+ years practicing operational best practices for service maintenance.  

  • Experience deploying and scaling within a cloud infrastructure. 

  • Experience with observability tools for metrics, logging, and monitoring (such as Datadog, Grafana). 

  • Strong communication skills and a desire to share your knowledge with team members and others. 

 


The hiring range for this position in Los Angeles, CA is $167,700 - $224,900, for Seattle, WA & New York, NY is $175,800 - $235,700, and for San Francisco, CA is $183,700 - $246,400. 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.


Disney Entertainment & ESPN Technology について:

Disney EntertainmentとESPN Technology (DE&E Technology)は、Disneyの2つのメディア事業部門に対して技術的バックボーンと製品開発を提供しており、当社がイノベーションの最前線に立ち続ける支えとなっています。これにより、当社がテクノロジーを継続的に活用してストーリーテリングと創造性を向上するとともに、ビジネスの拡張性や柔軟性、効率性を強化することも可能にしています。

The Walt Disney Company について:

The Walt Disney Companyは、その子会社・関連会社とともに、多様性あふれる国際企業として、Disney Entertainment、ESPN、Disney Experiencesの3事業を柱に、ファミリー向けエンターテインメントとメディアの世界をけん引しています。1920年代に小さなアニメ・スタジオとしてスタートしたDisneyは、今日のエンターテインメント業界において卓越した存在となりました。ディズニーは今後も、子供から大人まで、ご家族のだれもが楽しめる一流の物語や体験を生み出し続けます。Disneyのストーリーやキャラクター、体験は、世界中のあらゆる場所の消費者やお客様に届けられています。当社は40カ国以上で、従業員とキャストメンバーが一丸となり、世界的にも地域的にも歓迎されるエンターテインメント体験を創出しています。

このポジションは Disney Streaming Technology LLC という事業部門の一つである Disney Entertainment & ESPN Technologyでのお仕事です。

Disney Streaming Technology LLC は機会均等雇用主です。応募者は、人種、宗教、肌の色、性別、性的指向、ジェンダー、性自認、性表現、国籍、家柄、年齢、配偶者の有無、軍役経験の有無やその地位、健康状態、遺伝情報や障がい、または連邦法や州法、地方法で禁止されているその他の法的根拠に関係なく、雇用の検討対象となります。Disneyは、すべての人々のアイデアと決断が、成長、革新、最高のストーリーの創造に役立ち、絶えず進化する世界において、価値ある存在になれるよう支援するビジネス環境を支持します。

応募 後で応募

ジョブアラートに登録する

ジョブアラートにご登録いただくと、ご希望の求人情報をメールで受け取ることができます。

関心選択リストから職種を選択してください。選択リストから勤務地を選択してください。最後に、「追加」をクリックして、ジョブアラートを作成してください。

  • テクノロジー, サンタモニカ, カリフォルニア州, アメリカ合衆国削除
  • テクノロジー, サンフランシスコ, カリフォルニア州, アメリカ合衆国削除
  • テクノロジー, ニューヨーク, ニューヨーク州, アメリカ合衆国削除
  • テクノロジー, シアトル, ワシントン州, アメリカ合衆国削除