Principal Software Engineer, AI Architecture - Ad Platforms

ジョブID 10108987 勤務地を選択 サンタモニカ, カリフォルニア州, アメリカ合衆国 / グレンデール, カリフォルニア州, アメリカ合衆国 / シアトル, ワシントン州, アメリカ合衆国 企業名 Disney Entertainment 掲載日 Mar. 27, 2025

今すぐ応募

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.

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.

The Ad Platforms Team is responsible for building and operating the technology that supports Disney’s industry-leading, multi-billion dollar global advertising business. Working across all of Disney’s streaming brands and linear channels, this team’s scope is wide ranging - they impact everything from core infrastructure development that powers Disney’s proprietary ad server, to reimagining viewer-first ad experiences and formats. This team’s award-winning, in-house built technologies are the backbone of Disney’s ad business and a critical element of the Company’s streaming future.

Responsibilities and Duties of the Role:

Work in conjunction with business teams, data scientists, software engineers, and other relevant parties to comprehend business objectives and define technical requirements.
Architect Generative AI solutions using the latest techniques such as retrieval augmented generation, transformer architectures, etc. to accommodate large-scale and intricate Generative AI solutions.
Develop and implement applications using advanced Generative AI models such as OpenAI GPT 3.5 or 4.0, Anthropic Claude, Google Palm2, Amazon Nova, Meta Llama2 or Llama3.
Apply frameworks such as LangChain and Llama Index for efficient indexing, retrieval, and chaining of language models, enhancing the contextual understanding and response generation of applications.
Assess and choose suitable Generative AI technologies, tools, and frameworks to attain the required performance, precision, and scalability.
Oversee the fine-tuning and deployment of Large Language Models, ensuring compliance with top-tier practices in Generative AI and machine learning.
Construct and sustain Generative AI workflows, incorporating stages such as data cleansing, pre-processing, model training or fine-tuning, and feedback loop.
Evaluate Large Language Models and systems for optimal performance, scalability, and efficiency.
Conduct frequent code assessments and provide technical mentorship to less experienced team members.
Stay up to date on the latest trends and progress in Generative AI technologies, frameworks, and algorithms, and pinpoint opportunities for their use within the organization.
Cooperate with infrastructure teams to guarantee seamless deployment and monitoring of Large Language Models in operational environments.
Document Generative AI design choices and technical specifications for reference and knowledge dissemination.
Collaborate with research, infrastructure, and engineering teams to design a deep learning-based architecture. The platform leverages technologies including, but not limited to, TensorFlow, PyTorch, and XGBoost.

Required Education, Experience/Skills/Training:

Bachelor’s Degree in Computer Science, Engineering, Mathematics, or related field.
At least 7 years of experience in artificial intelligence, machine learning, or data science.
Experience in Generative AI architectures and frameworks such as retrieval augmented generation, vectorization and embeddings, and multi-agent Generative AI architecture solutions.
Must have experience working with at least one of the Large Language Models (e.g., Azure Open AI GPT 3.5/4.0, Google Palm2, AWS Nova).
Experience in designing and developing artificial intelligence solutions Ad industry using generate a video output on the spot using a generative AI text, audio, image, or video.
Experience in deploying and monitoring artificial intelligence solutions on cloud environments (AWS)
Excellent problem-solving and analytical skills, with the ability to break down complex problems into actionable components.
Strong communication and collaboration skills, with the ability to work effectively within cross-functional teams.
Strong knowledge of the latest advancements in Generative AI technologies, frameworks, and platforms.
Knowledge of ethical considerations and responsible Generative AI practices.
Strong communication and presentation skills, with the ability to explain complex artificial intelligence concepts and insights to technical and non-technical audiences.
Robust expertise with both deep learning models and traditional machine learning algorithms.
Hands-on experience on popular AI/ML platforms and tools like Tensorflow, Pytorch and Xgboost.

Preferred Qualifications:

Experience in designing and developing artificial intelligence solutions Ad industry using generate a video output on the spot using a generative AI text, audio, image, or video.
Experience in ads domain projects like CTR prediction, Contextual targeting, user segmentation model, inventory forecasting.

The hiring range for this position in Los Angeles, CA is $184,300 - $247,100 per year and in Seattle, WA is $193,100 - $258,900 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について:

The Walt Disney Companyでは強力なブランドが集結し、最も革新的で、広範囲にわたる影響力と尊敬される企業をグローバルで構築しています。記憶に残るエンターテインメントと体験の裏では、才能ある人材で構成された多種多様なビジネスサポートチームが、ディズニーの比類なきストーリーに生命を吹き込むために尽力しています。

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。

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.

技術的な問題がある場合は、「よくあるご質問」をご覧ください。

採用プロセス

あなたのストーリーはどこから始まりますか？

Disney CareersやLife at Disneyブログを探索し、ウォルト・ディズニー・カンパニーで待っている素晴らしい機会について学びましょう。
ストーリーに参加する

探索できるさまざまなブランドやビジネスがあります。自分に合った機会を見つけたら、次のステップとして応募を完了させましょう。
次の章

応募が完了すると、候補者ダッシュボードへのアクセス方法が記載されたメールが届きます。ログインIDを作成し、ダッシュボードを頻繁にチェックして、応募の進捗状況を確認するようにしてください。