Lead Machine Learning Engineer

ジョブID 10121021 勤務地を選択 サンフランシスコ, カリフォルニア州, アメリカ合衆国 / サンタモニカ, 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 / ロサンゼルス, カリフォルニア州, アメリカ合衆国 企業名 Disney Entertainment and ESPN Product & Technology 掲載日 Jun. 26, 2025

今すぐ応募

仕事内容:

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.

The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.

Disney Entertainment & ESPN Product 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:

Our team develops and maintains state-of-the-art recommendation and personalization algorithms that serve hundreds of millions of users across Disney+, Hulu, ABC, and ESPN. As a key member of this team, you will collaborate closely with Engineering, Product, and Data teams to apply advanced machine learning techniques in support of strategic personalization initiatives. This is an Individual Contributor role focused on content recommendations. You will lead the research, development, deployment, and optimization of recommendation and personalization algorithms across product surfaces. You will also play a critical role in aligning technical solutions with stakeholder requirements and expectations, partnering with Product, Engineering, and Editorial teams. Beyond execution, you will help define the roadmap for algorithmic innovation—shaping approaches to feature development and contributing to broader company goals in the personalization and recommendation space.

Responsibilities:

Developing and prototyping state-of-the-art Deep Neural Net algorithms for recommendation systems
Deliver a conceptual solution into production-level implementation & operation at scale, for global user services.
Quickly learn our complex streaming recommendation systems and deep dive into individual components & systems as well as understand overall framework/architecture.
Identify impactful opportunities to improve our business operations and develop practical solutions and plans to lift our business KPI’s.
Drive business decisions by data driven and pragmatic approach
Excellent written and oral communication skills
Leadership to technically guide a team of engineers and work collaboratively with peers to achieve goals with deadline.

Basic Qualifications:

Strong proficiency in at least one of the following deep learning frameworks, tensorflow, pytorch
Experiences building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment
Track record from design to full production of effective recommendation systems
Experience with cloud services in a production environment (particularly AWS)
Understanding of statistical concepts (e.g., hypothesis testing, regression analysis)
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
Production experience with developing content recommendation algorithms at scale and familiar with metadata management, data lineage, and principles of data governance
Deep understanding in personalization challenges in homepage experience and proven records of developing effective solutions

Experience with:

7+ years of experience in developing highly scalable machine learning products
7+ years writing production-level, scalable Python codes

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

The hiring range for this position in New York, NY & Seattle, WA is $172,300 to $231,100 per year, in San Francisco, CA is $183,700.00 to $246,400.00 per year and in Los Angeles/Santa Monica, CA is $164,500.00 to $220,600.00 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.

今すぐ応募

Disney Entertainment and ESPN Product & Technologyについて:

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 and ESPN Product & 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。

当社は、適用される法律に従い、犯罪歴のある有資格応募者の雇用を検討します。

求人応募における障害者への配慮

The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

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