Lead AI/Machine Learning Engineer

ジョブID 10133050 勤務地を選択 Lake Buena Vista, フロリダ州, アメリカ合衆国 / バーバンク, 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 企業名 The Walt Disney Company (Corporate) 掲載日 Oct. 14, 2025

今すぐ応募

仕事内容:

The Disney Decision Science + Integration (DDSI) is a consulting team that supports clients across The Walt Disney Company, including Disney Experiences (Parks & Resorts worldwide, Cruise Line, Consumer Products, etc.), Disney Entertainment (ABC, The Walt Disney Studios, Disney Theatrical, Disney Streaming Services, etc.), ESPN, and Corporate Finance. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research, and Operations. We develop, analyze, and execute strategies and improve the value proposition for our Guests, Cast Members, and Shareholders. The team leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value.

The Decision Science Transformation team within DDSI is seeking a results-oriented and hands-on AI/ML Engineering Manager to lead the design, development, and deployment of high-impact AI initiatives that unlock measurable business value. In this role, you will lead complex, cross-functional projects with a strong emphasis on reuse, scalability, reliability, and performance. You will design, develop, and implement robust, agentic AI/ML solutions. Success in this role also requires close collaboration with product, data science, and business stakeholders.

This position is in office.

What You’ll Do :

Design, build, and deploy complex, scalable AI solutions, including multi-step agentic workflows and multi-agent systems.
Develop and orchestrate AI agents capable of complex reasoning, planning, and dynamic tool use to solve business problems.
Own the end-to-end development lifecycle of AI models and applications – from implementation, rigorous testing, deployment, and operational monitoring – ensuring timely and successful completion.
Write clean, maintainable, and production-ready code for AI/ML model training, evaluation, and serving.
Collaborate closely with product managers, data scientists, client teams, vendors, and other partners to define requirements, adapt plans, and ensure successful outcomes.
Act as a hands-on technical expert, guiding design decisions and ensuring adherence to best practices in AI development, LLMOps, testing, and deployment.
Design, implement, and manage robust evaluation strategies and frameworks specifically for Large Language Models (LLMs) and the agentic systems built upon them, assessing model quality, task completion reliability, safety, and effectiveness.
Identify and mitigate technical risks and roadblocks impeding project delivery.
Represent the technical aspects of your initiatives with senior leaders and partners.
Contribute hands-on to development and troubleshooting, especially on challenging technical problems, to ensure project momentum.
Lead research and development efforts into emerging tools and technologies, with a particular focus on advances in AI, and drive their adoption where appropriate.
May manage direct reports and/or lead junior team members, which include professional staff specializing in different technical disciplines and may also manage the work of further professional staff in a matrixed organization.

Basic Qualifications:

7 + more years of combined experience designing, building, and deploying AI/ML solutions, including 1-2 years of hands-on experience with GenAI technologies.
Experience with traditional ML algorithms and statistical modeling techniques.
Proficiency in prompt engineering techniques and approaches.
Strong proficiency in core programming languages used in AI/ML (e.g., Python).
Deep understanding of AI agent architectures, including concepts like planning, memory, and tool integration (e.g., ReAct).
Expertise with the AI/ML ecosystem, including LLM application and agentic frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex), and supporting libraries (e.g., Pydantic, Streamlit).
Solid understanding and practical experience applying MLOps principles and utilizing associated tools for model deployment, monitoring, and lifecycle management of both models and agents.
Proven experience developing and deploying solutions on at least one major cloud platform (e.g., AWS, Azure, GCP).
Experience using or evaluating Large Language Models with code generation assistance tools (e.g., GitHub Copilot, Amazon Q Developer, Cursor).
Familiarity with Vector Databases (e.g., Milvus, Pinecone, ChromaDB).
Excellent analytical and problem-solving skills, with a proven ability to tackle complex technical challenges and navigate ambiguity.
Strong communication and collaboration skills, with the ability to articulate technical concepts and drive alignment across cross-functional teams to achieve delivery goals.
Demonstrated ability to partner effectively with a diverse set of clients and partners of varying job levels.
Experience working effectively in a matrixed organization where the ability to influence others is critical to success.

Preferred Qualifications:

Certification(s) in AI, machine learning, or relevant cloud platforms.
Experience with multi-agent system design and orchestration.
Familiarity/competency in data science topics such as statistics, optimization, and/or econometrics.
Strong understanding of software development methodologies and tools including Agile, Git, CICD, MLOps/DevOps, Docker, SSH, Linux.
Experience in using AWS, Databricks and Snowflake cloud data platforms.
Experience in Domino Data Labs AI Platform.
Demonstrated ability to develop and mentor team members, fostering a collaborative and high-performing team environment.
Experience providing internal client services.
Strong focus on innovation and continuous improvement, proactively seeking ways to enhance processes and outcomes.
Familiarity with Disney business domain knowledge.

Required Education:

Bachelor's degree in Artificial Intelligence, Machine Learning, Mathematical Sciences, Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.

Preferred Education:

Master's degree or Ph.D in Artificial Intelligence, Machine Learning, Mathematical Sciences, 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 Burbank, CA is $171,600 to $230,100 per year and in Seattle, WA is $179,700 to $241,000 and in New York, NY is $179,700 to $241,000 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

The Walt Disney Company (Corporate)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 Worldwide Services, Inc.という事業部門の一つであるThe Walt Disney Company (Corporate)でのお仕事です。

Disney Worldwide Services, Inc. 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.

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