Disney

Job Posting Title: Lead Data Scientist, Ad Research Req ID: 10142041 Job Description: 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. Here are a few reasons why we think you’d love working here: - Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. - Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. - Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney’s industry-leading ad technology and products – driving advertising performance, innovation, and value in Disney’s sports, news, and entertainment content, across all media platforms. The research/AI team is the dedicated AI/ML and data science arm of the Ad Platform organization. Its mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance ad decisioning, forecasting, experimentation and ad experience. We are seeking a Lead Data Scientist to join this innovative team. This role is a critical leadership opportunity for a seasoned data science professional who thrives at the intersection of advanced analytics, machine learning, and business strategy. As a Lead Data Scientist, you will spearhead ML and data science initiatives that shape the future of advertising technology. You will support generative AI production development through rigorous evaluation and data generation pipelines. You will be responsible for designing and executing ML and data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization, as well leading evaluation and optimization of generative AI mixed media advertisement creation and enhancement technologies. WHAT YOU’LL DO - Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising serving, including inventory forecasting, ad experience, ad pacing, pricing, targeting, advertising creation and enhancement, and efficient ad delivery. - Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround. - Develop rigorous evaluation pipelines for generative AI technologies, including visual generations (image, video) and/or LLM-based agentic generations. - Define and evaluate key metrics in various product areas. - Partner closely with generative AI specialists to support the creation of datasets for generative AI modeling applications. - Develop Standard Operating Procedures for human-driven evaluations or labeling. - Deliver data insights and provide data-driven recommendations to cross-team stakeholders. - Design and analyze A/B tests for machine learning algorithm iterations. - Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment. - Mentor team members and support their technical growth. WHAT TO BRING - Bachelor's in computer science, statistics or equivalent experience - At least 7 years of relevant industry experience in data science at leading internet or creative technology companies. Experience in the advertising domain is a strong bonus. - Experience creating ML datasets and rigorous dataset labeling or evaluation processes for models. - Strong interest to learn about generative mixed media, generative video, and diffusion-based technology. - Solid knowledge of data science and statistics. Strong communication skills and business acumen. - Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools. - Experience designing and building machine learning models. - Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness. - Interested in supporting rapid prototyping, generative AI, and creative technologies, including applications to advertisement creation and enhancement. - Experienced building data-driven services and applications for production. - A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. NICE-TO-HAVES - MS or PhD in computer science, statistics or equivalent experience - Experience in digital video advertising or digital marketing domain - Experience in production-grade development, rapid prototyping, or generative AI related research using LLMs, generative imagery or video, or agentic flows.  Otherwise a strong interest to learn. - Experience with Airflow, data warehouse, Databricks or Sagemaker. DISNEYTECH The hiring range for this position in Los Angeles, CA area is $155,700 - $208,700 per year and Seattle Area is $163,100 - $218,700. 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. Job Posting Segment: Ad Platforms Job Posting Primary Business: AP - Software Engineering Primary Job Posting Category: Data Science Employment Type: Full time Primary City, State, Region, Postal Code: Seattle, WA, USA Alternate City, State, Region, Postal Code: USA - CA - 1200 Grand Central Ave, USA - CA - 2450 Broadway Date Posted: 2026-02-20

Job Posting Title: Senior Principal Machine Learning Engineer, Ad Platforms Req ID: 10150390 Job Description: 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. Here are a few reasons why we think you’d love working here: - Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. - Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. - Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney’s industry-leading ad technology and products – driving advertising performance, innovation, and value in Disney’s sports, news, and entertainment content, across all media platforms. Job Summary: Ad Platforms is responsible for Disney’s industry-leading ad technology and products – driving advertising performance, innovation, and value in Disney’s sports, news, and entertainment content, across all media platforms. As our team's Sr Principal Machine Learning Engineer (IC leadership role), you will apply your industry-tested experience, deep technical knowledge of software and systems including Machine Learning and AI patterns, platforms and infrastructure, and leadership skills to unblock and guide our ML and Research teams to create scalable, performant, maintainable, and testable models and pipelines. Daily, you should bring: - Excellent communication and collaboration across teams and organizations. - Strong and sound understanding of architectural best practices and principles in machine learning and AI domains - Proficiency in designing and implementing robust, scalable, measurable models and pipelines. - A passion for mentoring and learning in a very dynamic and fast-paced environment - Proven ability to collaborate with Product and Sales teams, translating requirements into well-defined technical implementations. Skilled in defining technical and operational metrics for measuring system health. - Knowledge of relevant and upcoming technologies and their potential application within the stack. - A keen eye for potential optimizations and enhancements - Kindness and pragmatic optimism. - Your unique view and experience. - A full toolkit of influence models and clear evidence based decision making methods Responsibilities and Expectations: - Reviewing designs and implementations for best practices - Influence on multi-year technical roadmap - Cross-org impact - Shaping product/business strategy - Part of the Architecture Guild within Ad Platforms - Reading requirements documentation from Product, translating into areas of work and partnering with team leads through execution as needed. - Exploring, researching, implementing proofs-of-concept, and proposing solutions that will reduce cost and overhead, improve maintainability, minimize the time features take to be in production. - Defining, reviewing, and documenting software and models in a high throughput, low latency environment. - Mentoring and inspiring team members in all aspects of professional software development. - Support on call activities with the MLP and Research teams - Establishing shared technical standards and working practices across globally distributed ML teams. Basic Qualifications: - BS or MS in Computer Science/Engineering or relevant work experience - 12+ years of software engineering experience - Demonstrable analytical / problem-solving / design skills in a highly distributed and highly available services ecosystem - Strong foundations in algorithms, data structures, and numerical optimization with experience in programming languages such as Python (primary), Java and SQL - Experience with tools and frameworks such as TensorFlow, Pytorch, Hugging Face libraries - Model optimization and inference (TensorRT, ONNX, DeepSpeed) - Ad Tech Industry knowledge Deep expertise in: - LLMs and OpenAI GPT models, Claude, Gemini, Llama, and similar models. - Fine-tuning (SFT, PEFT, RLHF, adapters) - Prompt engineering, retrieval-augmented generation (RAG), context management, and multi-agent systems and MCPs - Embeddings, and vector search - Tokenization Preferred Qualifications: - PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field The hiring range for this position in Santa Monica, CA is $228,700 - $306,700 per year and in Seattle is $239,700 - $321,400. 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. Job Posting Segment: Ad Platforms Job Posting Primary Business: AP - Engineering Primary Job Posting Category: Machine Learning Employment Type: Full time Primary City, State, Region, Postal Code: Seattle, WA, USA Alternate City, State, Region, Postal Code: USA - CA - 2450 Broadway Date Posted: 2026-05-13

Job Posting Title: Lead Full Stack Software Engineer - AI Assisted Engineering Practices Req ID: 10146000 Job Description: This is not a remote role. You must be in the area or willing to relocate! “We Power the Magic!” That’s our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company’s premier vacation brands including Disney’s Parks & Resorts worldwide, Disney Cruise Line, Disney Vacation Club, Storyliving by Disney, Adventures by Disney, and National Geographic Expeditions. This role sits in the Disney Signature Experience organization within Technology & Digital for Disney Experiences. It supports high-visibility, guest-facing digital platforms and works closely with Storyliving by Disney, Adventures by Disney and National Geographic Expeditions (A&E) businesses. Role Summary The Lead Software Engineer will be responsible for leading the development and implementation of custom and commercial software projects to power both cast and guest experiences. They will champion the use of AI-assisted development tools and process automation across the software development lifecycle (SDLC), driving measurable improvements in delivery speed, code quality, and operational efficiency. This role intentionally blends active software development with technical leadership. You will spend meaningful time designing, building, reviewing, and improving code while also setting technical direction, mentoring engineers, and guiding platform strategy. The role emphasizes modern front-end engineering (UI architecture, performance, accessibility, component-driven development) while maintaining full-stack responsibility with back-end systems. You will partner closely with Product, UX, Content, and Business stakeholders to ensure the web platform and front-end ecosystem scale reliably to support best-in-class, high-traffic, revenue-generating digital experiences. What You’ll Do Experience Platform & Front-End Engineering Leadership (Primary Focus) - Own the technical strategy, roadmap, and operational health of the Adobe Experience Manager (AEM) platform and the guest-facing front-end ecosystem built on it - Set front-end architecture direction for guest-facing web experiences (rendering strategy, component architecture, data/state patterns) and ensure consistency across products - Lead platform upgrades, security posture, performance optimization, reliability, and scalability initiatives across both the platform and UI layer - Establish and evolve engineering standards and best practices for front-end development (patterns, guardrails, quality gates, CI/CD expectations) - Build and govern reusable capabilities: components/templates/workflows/content models and shared UI component libraries/design system adoption - Write, review, and optimize production-quality code using JavaScript and TypeScript; provide hands-on technical leadership for React and Angular implementations - Champion web fundamentals using measurable standards and tooling: performance, accessibility (WCAG), SEO, and responsive design - Partner with Product, UX, Design, and Content teams to translate designs into scalable, maintainable solutions and enable AI-assisted content workflows (e.g., tagging, summarization, optimization) with brand governance and quality controls - Introduce AI-enhanced experience capabilities where valuable (e.g., intelligent search, recommendations, conversational interfaces, personalization) with appropriate quality and risk controls Services & Integrations (Full-Stack Leadership) - Design, implement, and review APIs, microservices, and backend integrations supporting business and guest experiences - Define integration strategies with internal systems and third-party services, ensuring secure and reliable service contracts - Contribute hands-on across the stack as needed to unblock teams, accelerate delivery, and resolve complex technical challenges - Collaborate with architects on cloud-native and AI solution patterns, ensuring operability and maintainability - Ensure end-to-end alignment between front-end, services, and infrastructure (performance, reliability, observability readiness) Engineering Excellence & Delivery - Drive adoption of AI-assisted engineering practices (agentic IDEs, code assistants, AI pair programming) to improve throughput and quality, with clear team guardrails and measurable outcomes - Set standards for “trust-but-verify” usage of AI-generated code: validation, security review, refactoring expectations, and maintainability requirements (including preventing over-reliance on automation) - Expand SDLC automation using AI where it improves outcomes (test generation, documentation generation, code review acceleration, pipeline improvements), while preserving engineering rigor - Actively participate in development while leading code reviews to ensure quality, security, and maintainability - Identify, prioritize, and remediate technical debt through hands-on contribution and backlog planning - Translate business requirements into clear technical designs, stories, and implementation plans - Guide estimation, planning, and delivery of complex initiatives - Ensure CI/CD, monitoring, logging, and observability are built into all solutions - Review and approve solution designs and technical documentation - Ensure you remain up to date with emerging technologies so you can make informed recommendations Team Leadership & Mentorship - Mentor and coach engineers through code reviews, pairing, and design discussions - Provide technical leadership to both onshore and offshore development teams - Foster a collaborative, inclusive, and high-performing engineering culture - Promote effective use of AI-assisted developer tools to improve code quality, velocity, and documentation - Lead by example through strong engineering practices, ownership, and accountability Required Qualifications - 7+ years of professional software engineering experience - Demonstrated ability to lead technical decision-making, influence architecture across teams, and align engineering solutions with business outcomes - An advocate for a diverse and inclusive culture that encourages innovation and ensures every team member feels a sense of belonging - Must have demonstrated success using AI coding assistants (agentic IDEs / AI pair programming) to improve delivery speed and quality - Must have experience implementing AI-enabled automation across SDLC (testing, code review, documentation, CI/CD) with measurable outcomes - Strong “trust-but-verify” discipline: validate, secure, refactor, and govern AI-generated output to meet maintainability standards - Ability to establish team guardrails and educate others on responsible AI usage (risks, over-reliance, licensing/security considerations) - Strong expertise in modern front-end development using JavaScript and TypeScript - Must have hands-on experience with Node.js, React and Angular in large-scale applications - Must have solid full-stack experience with Java, Spring, Spring Boot, RESTful APIs, and microservices - Experience designing and operating CI/CD pipelines - Experience with monitoring and observability tools (e.g., Splunk, AppDynamics, etc.) - Strong understanding of object-oriented design and software architecture principles - Experience working in agile development environments Preferred Qualifications - 10+ years of experience building and supporting enterprise-scale, customer-facing platforms - Experience with Adobe Experience Manager (AEM), including AEM as a Cloud Service - Experience with headless or hybrid AEM architectures - Experience using AI assisted development tools in large engineering teams - Understanding of responsible AI principles in enterprise or consumer facing environments - Experience with cloud-based technologies like AWS, Google Cloud, Microsoft Azure - Experience with Confluence and Jira to document requirements, user stories and technical designs. Required Education - Bachelor’s degree (or foreign equivalent) in Computer Science, Engineering, or a related field, or equivalent practical experience Preferred Education - Bachelor’s or Master’s degree in Computer Science or a related discipline DISNEYTECH The hiring range for this position in Orlando is $148,300.00 - $180,000.00 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. Job Posting Segment: DX Technology Job Posting Primary Business: Disney Signature Experiences Primary Job Posting Category: Software Engineer Employment Type: Full time Primary City, State, Region, Postal Code: Celebration, FL, USA Alternate City, State, Region, Postal Code: Date Posted: 2026-04-28

Job Posting Title: Senior Machine Learning Engineer - News Req ID: 10147760 Job Description: 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. Here are a few reasons why we think you’d love working here: Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally.  Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. The News ML team is responsible for building robust data pipelines and advanced machine learning platforms that deliver personalized experiences to users across ABC News, Good Morning America, and local news stations. Our services leverage machine learning models to enable real-time content personalization and targeted distribution across web, mobile, and connected TV platforms, ensuring that users receive the most relevant and engaging news content tailored to their interests. Our mission is to drive seamless, resilient, and low-latency personalized content delivery at scale, while continuously advancing our ML infrastructure and recommendation algorithms. As a Senior Machine Learning Engineer, you will play a leading role in shaping the technical direction of the News ML Platform. You will drive infrastructure for scalable learning, inference, and monitoring, conduct in-depth data exploration and analysis, and collaborate across product, data, and engineering teams to power exceptional, personalized guest experiences. Your work will directly support strategic initiatives to help shape the roadmap for algorithmic innovation while ensuring that solutions are scalable, impactful, and aligned with stakeholder needs. Responsibilities - Own complex technical initiatives end-to-end, from technical design through production deployment and operational excellence - Design and develop infrastructure supporting the full cycle of machine learning, including data pipelines and workflow orchestration, data discovery and quality tools, and feature libraries - Drive data and ML-driven solutions for diverse engineering use cases such as recommendation systems, object detection, autogenerated tagging solutions, RAGs - Partner with product, editorial, and engineering stakeholders to translate business requirements into robust technical solutions - Strategically prioritize initiatives and technical workstreams to deliver the highest-impact and most time-sensitive outcomes, while proactively identifying, communicating, and mitigating risks to ensure successful execution - Champion engineering best practices across code quality, testing, CI/CD, observability, and incident response - Mentor and coach engineers, fostering a culture of ownership, collaboration, and continuous improvement - Contribute to technical documentation and promote knowledge sharing across teams Qualifications - Bachelor’s degree in Computer Science, Information Systems, Statistics, Math, or comparable field of study, and/or equivalent work experience - 5+ years of experience building and operating ML engineering systems in production environments - Expertise in data science, deep learning algorithms, or statistical methods to solve real-world engineering problems - Comfortable operating at all levels of the predictive stack, including data collection, data analysis, feature engineering, batch training and low-latency online serving - Experience designing and developing backend microservices for large-scale distributed systems using REST - Experience with cloud infrastructure, preferably AWS (Step Functions, Lambda, Glue, SQS, SNS, Personalize) - Familiarity with developing and deploying Spark and ML pipelines - Hands-on experience with big data technologies such as Databricks, Kinesis, Kafka - Proven leadership, coaching, and mentoring skills, with the ability to inspire and empower a team towards achieving business goals - Experience with observability tools for metrics, logging, and monitoring such as Datadog - Experience working in Agile/Scrum development environments - Excellent communication skills and a commitment to collaboration in a fast-paced, guest-focused environment disneytech The hiring range for this position in New York, NY is $148,700 - $199,400 per year and in Glendale, CA is $141,900 - $190,300. 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. Job Posting Segment: Product Engineering Job Posting Primary Business: PE - Streaming Backend Primary Job Posting Category: Machine Learning Employment Type: Full time Primary City, State, Region, Postal Code: New York, NY, USA Alternate City, State, Region, Postal Code: USA - CA - 1200 Grand Central Ave Date Posted: 2026-05-05

Job Posting Title: Senior Machine Learning Engineering Manager, Ad Platforms Req ID: 10152780 Job Description: 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. Here are a few reasons why we think you’d love working here: - Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. - Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. - Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms organization within Disney Entertainment and ESPN Technology is fully responsible for building, enhancing and maintaining high-performance, distributed, microservice-based Advertising Platform across all of Disney online properties, including Hulu and ESPN+. We build and maintain proprietary technology, ranging from ad serving and ad delivery, campaign management, reporting as well as all the integrations internal and external that come with evolving and maintaining a best-in-class video advertising business. Our mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance various aspects of ad serving. We are seeking a Senior Manager Machine Learning to join this innovative team. This role offers a unique leadership opportunity for an experienced ML/AI and people leader who thrives at the intersection of technical excellence, strategic impact, and cross-functional collaboration. Job Summary: You will apply your battle-tested experience, deep technical knowledge of software and systems including Machine Learning and AI technologies, and leadership skills to unblock and guide our ML/AI team members to design and build scalable, performant, maintainable, and testable models and pipelines in various domains using industry best practices which are aligned in close collaboration with the ML team in the US highlighting cross-functional collaboration. Daily, you should bring: - A willingness and desire to effectively communicate and collaborate across teams and systems on architecture, design, and implementation. - A passion for mentoring, learning, and taking on new challenges. - A proven ability to work with product teams to translate requirements into - well-defined technical implementations, as well as the ability to define technical and operational metrics to measure system health. - A keen eye for potential optimizations and enhancements. - Kindness and pragmatic optimism. - A deep understanding of model development cycles and AI tool usage Responsibilities and Duties of the Role: - Lead, mentor and guide senior individual contributors and managers across data scientists, machine learning and AI engineers teams to build solutions adhering to industry best practices and deliver scalable solutions including model architecture and algorithm selection. - Define strategic direction for machine learning projects and collaborate with product and engineering stakeholders. - Lead by example and always strive to improve the design for more scalable, cleaner, and decoupled implementations. - Drive adoption of best practices in model development, code quality, testing, and documentation. - Solid understanding and usage of automated tools (AI) while adhering to company policy. - Oversee end-2-end machine learning workflow, including data collection, model development, deployment and modeling. These are expected to be aligned with the larger platform strategy and tools in collaboration with the global teams to stay consistent across Ad Platforms. - Foster innovation by exploring new ML techniques, tools, and technologies. - Communicate strategies, progress, and results to leadership and cross-functional teams. - Ensure responsible AI practices, including fairness, explainability, and compliance with privacy and ethical standards. - Develop partnerships across the organization to identify and prioritize high-impact ML opportunities. - Available for On-Call rotations based on the team’s escalation policy and support schedule for ML/AI solutions Basic Qualifications: - Bachelor’s or master’s degree in computer science, Engineering, Mathematics, Statistics, or a related field. - 10+ years of relevant industry experience, with at least 5 years in people-management managing senior ICs and managers. - Proven ability to translate business problems into scalable ML and GenAI solutions and strong understanding of machine learning fundamentals, deep learning, and statistical modeling. - Proven experience designing, building, and deploying scalable machine learning models and systems in production. - Experience deploying ML/GenAI systems at scale using cloud platforms and MLOps practices - Advanced programming proficiency (e.g., Python, Java, or similar); experience with ML/DL frameworks (e.g., TensorFlow, PyTorch, JAX, Hugging Face). - Experience building, fine-tuning, evaluating, and deploying LLM-based systems (e.g., RAG, prompt engineering, model optimization) - Demonstrated ability to lead global teams and collaborate across organizational boundaries. Preferred Qualifications: - Domain knowledge in the Ad Tech industry - Experience working with large-scale data and distributed systems. - Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and MLOps pipelines. - Track record of innovation and contributions to the ML/AI community (publications, talks, open source). DISNEYTECH The hiring range for this position in Los Angeles, CA area is $207,400 - $278,100 per year and Seattle Area is $217,300 - $291,500. 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. Job Posting Segment: Ad Platforms Job Posting Primary Business: AP - Engineering Primary Job Posting Category: Machine Learning Employment Type: Full time Primary City, State, Region, Postal Code: Seattle, WA, USA Alternate City, State, Region, Postal Code: USA - CA - 2450 Broadway Date Posted: 2026-06-03

Job Posting Title: Manager, Machine Learning Engineering - Ad Platforms Req ID: 10152782 Job Description: 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. Here are a few reasons why we think you’d love working here: - Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. - Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. - Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms organization within Disney Entertainment and ESPN Technology is fully responsible for building, enhancing and maintaining high-performance, distributed, microservice-based Advertising Platform across all of Disney online properties, including Hulu and ESPN+. We build and maintain proprietary technology, ranging from ad serving and ad delivery, campaign management, reporting as well as all the integrations internal and external that come with evolving and maintaining a best-in-class video advertising business. Our mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance various aspects of ad serving. We are seeking a Senior Manager Machine Learning to join this innovative team. This role offers a unique leadership opportunity for an experienced ML/AI and people leader who thrives at the intersection of technical excellence, strategic impact, and cross-functional collaboration. Job Summary: You will apply your battle-tested experience, deep technical knowledge of software and systems including Machine Learning and AI technologies, and leadership skills to unblock and guide our ML/AI team members to design and build scalable, performant, maintainable, and testable models and pipelines in various domains using industry best practices which are aligned in close collaboration with the ML team in the US highlighting cross-functional collaboration. Daily, you should bring: - A willingness and desire to effectively communicate and collaborate across teams and systems on architecture, design, and implementation. - A passion for mentoring, learning, and taking on new challenges. - A proven ability to work with product teams to translate requirements into - well-defined technical implementations, as well as the ability to define technical and operational metrics to measure system health. - A keen eye for potential optimizations and enhancements. - Kindness and pragmatic optimism. - A deep understanding of model development cycles and AI tool usage Responsibilities and Duties of the Role: - Lead, mentor and guide Data Scientists, Machine Learning and AI engineers to build solutions adhering to industry best practices and deliver scalable solutions including model architecture and algorithm selection. - Lead by example and always strive to improve the design for more scalable, cleaner, and decoupled implementations. - Drive adoption of best practices in model development, code quality, testing, and documentation. - Solid understanding and usage of automated tools (AI) while adhering to company policy. - Define strategic direction for machine learning projects and collaborate with product and engineering stakeholders. - Oversee end-2-end machine learning workflow, including data collection, model development, deployment and modeling. These are expected to be aligned with the larger platform strategy and tools in collaboration with the global teams to stay consistent across Ad Platforms. - Foster innovation by exploring new ML techniques, tools, and technologies. - Communicate strategies, progress, and results to leadership and cross-functional teams. - Ensure responsible AI practices, including fairness, explainability, and compliance with privacy and ethical standards. - Develop partnerships across the organization to identify and prioritize high-impact ML opportunities. - Available for On-Call rotations based on the team’s escalation policy and support schedule for ML/AI solutions Basic Qualifications: - Bachelor’s or master’s degree in computer science, Engineering, - Mathematics, Statistics, or a related field. - 8+ years of relevant industry experience, with at least 2-3 years in a people-management or technical leadership role. - Proven ability to translate business problems into scalable ML and GenAI solutions and strong understanding of machine learning fundamentals, deep learning, and statistical modeling. - Proven experience designing, building, and deploying scalable machine learning models and systems in production. - Experience deploying ML/GenAI systems at scale using cloud platforms and MLOps practices - Advanced programming proficiency (e.g., Python, Java, or similar); experience with ML/DL frameworks (e.g., TensorFlow, PyTorch, JAX, Hugging Face). - Experience building, fine-tuning, evaluating, and deploying LLM-based systems (e.g., RAG, prompt engineering, model optimization) - Demonstrated ability to lead global teams and collaborate across organizational boundaries. Preferred Qualifications: - Domain knowledge in the Ad Tech industry - Experience working with large-scale data and distributed systems. - Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and MLOps pipelines. - Track record of innovation and contributions to the ML/AI community (publications, talks, open source). DISNEYTECH The hiring range for this position in Los Angeles, CA area is $171,600 - $230,100 per year and Seattle Area is $179,700 - $241,000. 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. Job Posting Segment: Ad Platforms Job Posting Primary Business: AP - Engineering Primary Job Posting Category: Machine Learning Employment Type: Full time Primary City, State, Region, Postal Code: Seattle, WA, USA Alternate City, State, Region, Postal Code: USA - CA - 2500 Broadway Street Date Posted: 2026-06-03

Job Posting Title: Sr Software Engineer - AI and Observability Req ID: 10150770 Job Description: Disney Entertainment and ESPN Product & Technology 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. Here are a few reasons why we think you’d love working here: - Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. - Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. - Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. The Observability & Insights group ensures that Disney Streaming’s distributed systems are reliable, performant, and transparent. We build the telemetry, dashboards, alerting, insights pipelines, and developer experience tooling that enable engineers across the organization to understand system health and take action quickly. Job Summary: As a Senior Software Engineer (P3), you will lead the design and implementation of intelligent, AI-driven systems that safeguard the reliability and performance of Disney’s global streaming ecosystem. You will be a technical leader in developing agentic systems, complex machine learning models, and high-throughput real-time pipelines that transform massive telemetry and log datasets into automated detection, root cause analysis, and proactive insights. In this role, you will own the architectural vision for autonomous agents capable of reasoning over complex system behaviors across Disney+, Hulu, and ESPN. You will act as a bridge between engineering, product, and platform teams, translating high-level business needs into scalable AI solutions that reduce operational overhead. As a P3 engineer, you are expected to deliver mission-critical features, mentor junior engineers, and drive engineering excellence through rigorous design reviews and high-quality, production-ready code in a fast-paced, AI-native environment. Responsibilities and Duties of the Role: - Own the design and operation of production-grade, intelligent systems leveraging real-time signals and AI-driven detection to ensure the health of critical services and premium customer experiences. - Lead the development of agentic AI systems powered by modern foundation models (e.g., Claude Opus/Sonnet, GPT-4). You will define the strategy for automated reasoning, decisioning, and predictive modeling for global-scale system reliability. - Oversee the creation of end-to-end data pipelines that process high-volume telemetry and user signals into actionable, automated insights and root cause analysis. - Design and maintain scalable APIs and microservices that provide explainability and predictive signals to cross-functional engineering and product stakeholders. - Partner with leadership and cross-functional teams to embed intelligence into global workflows (incident response, release validation), significantly reducing Time-to-Detect (TTD) and Time-to-Resolve (TTR). - Promote engineering best practices, provide technical guidance through code and design reviews, and drive innovation in observability and developer productivity through applied AI. Required Education, Experience/Skills/Training: Basic Qualifications - 5+ years of applicable experience in backend development, with a proven track record of building and scaling AI-powered or data-driven applications. - Advanced proficiency with modern models (GPT-4/o1, Claude Opus/Sonnet, Bedrock), including deep experience in prompt engineering, model evaluation, and building complex agentic workflows using frameworks like LangChain or LangGraph. - Minimum 3 years of hands-on experience deploying and monitoring ML systems (PyTorch/TensorFlow) and large-scale data processing (PySpark, Pandas) in production environments. - Strong experience with AWS ecosystem and containerization (Docker, Kubernetes) at scale. - Proven ability to lead technical projects, mentor junior talent, and champion software development best practices (Git, CI/CD, Agile). - Expert level use of AI-assisted development tools (e.g., Cursor, Claude) to accelerate team velocity and maintain high code quality. - Exceptional communication skills with the ability to navigate ambiguity and explain complex AI/technical concepts to both technical and non-technical partners. Preferred Qualifications - Experience implementing observability and monitoring systems for high-volume, low-latency production environments. - Experience with modern databases and observability platforms (Datadog, Grafana, Conviva, MongoDB) handling billions of events. - Advanced knowledge of distributed systems, microservices architecture, and API design patterns. Education - Bachelor’s degree in Computer Science, Engineering, or equivalent experience disneytech The hiring range for this position in New York City, NY and Seattle, WA is $148,700 - $199,400 per year, and in Glendale, CA is $141,900 - $190,300 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. Job Posting Segment: PE - Sports, News & Entertainment, Tech Enablement Job Posting Primary Business: PE - Sports, News & Entertainment, Enablement - Insights & Observability Primary Job Posting Category: Software Engineer Employment Type: Full time Primary City, State, Region, Postal Code: New York, NY, USA Alternate City, State, Region, Postal Code: USA - CA - 1200 Grand Central Ave, USA - WA - 925 4th Ave Date Posted: 2026-05-20

Job Posting Title: Staff Data Engineer (Audio/ML) Req ID: 10129825 Job Description: The Skywalker Sound Development Group is seeking an experienced Data Engineer with a focus on Audio/ML to specialize in the creation, management, and optimization of data pipelines to support cutting-edge AI/ML research. This is a critical role in preparing high-quality datasets for the training, retraining, and evaluation of machine learning models tailored to immersive and multichannel audio applications. As a Data Engineer (Audio/ML), you will focus on developing robust pipelines for processing complex media datasets, enabling AI/ML researchers to build transformative solutions for speech processing, style transfer, and source separation. Your work will directly contribute to creating innovative soundtrack workflows for global media production. This role is considered Hybrid, which means the employee will work 2-3 days onsite at our Nicasio, CA office and occasionally from home. What You'll Do - Design, implement, and maintain scalable, automated data pipelines for the ingestion, preprocessing, and transformation of large-scale audio datasets. - Ensure pipelines support efficient model training and retraining workflows, enabling continuous improvement of AI/ML models. - Collaborate with AI/ML researchers to define data requirements and integrate feedback to improve data pipeline functionality. - Develop advanced preprocessing techniques for immersive and multichannel audio formats (e.g., Dolby Atmos, high-order ambisonics). - Automate data cleaning, normalization, and augmentation processes to prepare datasets for various model architectures, including foundational models and transformers. - Integrate external datasets and APIs while ensuring compliance with legal and ethical data usage standards. - Monitor and optimize pipeline performance to handle complex and dynamic data structures effectively. - Create tools and workflows for annotating, labeling, and curating datasets, including the use of active learning methods. - Perform exploratory data analysis to uncover trends, validate dataset quality, and identify data gaps. What We’re Looking For - Master’s Degree with preference for PhD in Data Engineering/Science, Computer Science, Signal Processing, or a related field. - 8+years of experience in data engineering or data science with a focus on building pipelines for AI/ML applications. - Proficiency in Python, with expertise in data manipulation libraries such as Pandas, NumPy, and PyTorch’s data utilities. - Hands-on experience with audio processing libraries and tools (e.g., Librosa, FFmpeg, SoX) for handling complex audio formats. - Familiarity with scalable pipeline tools like GitLab, Apache Spark, Airflow, or Luigi, and experience with containerized workflows (Docker, Kubernetes). - Strong understanding of data pipeline requirements for model training, retraining, and evaluation in iterative research workflows. - Experience with immersive and multichannel audio formats. - Knowledge of cloud-based platforms and tools for storage and processing, such as AWS S3, Redshift, or Google BigQuery. - Strong problem-solving skills, with a proactive mindset for addressing evolving data challenges. Preferred Qualifications - Experience integrating data pipelines with AI/ML workflows, including active learning and model retraining. - Familiarity with audio-specific datasets and metadata management strategies. - Knowledge of machine learning principles and how data quality impacts model performance. - Experience with distributed training pipelines and large-scale dataset processing. - Contributions to open-source projects or published research in the fields of data science or audio processing. - Experience with visualization tools (e.g., Tableau, Matplotlib) for quality assurance and exploratory data analysis. - Expertise in designing systems to support AI/ML model monitoring and retraining over time. The hiring range for this position in Nicasio, CA is $170,500 to $228,600 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. Job Posting Segment: Skywalker Sound Job Posting Primary Business: Skywalker Sound-Engineering Primary Job Posting Category: Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Nicasio, CA, USA Alternate City, State, Region, Postal Code: Date Posted: 2025-09-16

Job Posting Title: Lead Machine Learning Engineer - News Req ID: 10150521 Job Description: 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. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Job Summary: The News ML team is responsible for building robust data pipelines and advanced machine learning platforms that deliver personalized experiences to users across ABC News, Good Morning America, and local news stations. Our services leverage machine learning models to enable real-time content personalization and targeted distribution across web, mobile, and connected TV platforms, ensuring that users receive the most relevant and engaging news content tailored to their interests. Our mission is to drive seamless, resilient, and low-latency personalized content delivery at scale, while continuously advancing our ML infrastructure and recommendation algorithms. As a Lead Machine Learning Engineer, you will play a leading role in shaping the technical direction of the News ML Platform. You will drive infrastructure for scalable learning, inference, and monitoring, conduct in-depth data exploration and analysis, and collaborate across product, data, and engineering teams to power exceptional, personalized guest experiences. Your work will directly support strategic initiatives to help shape the roadmap for algorithmic innovation while ensuring that solutions are scalable, impactful, and aligned with stakeholder needs. Responsibilities and Duties of the Role: - Own complex technical initiatives end-to-end, from technical design through production deployment and operational excellence - Design and develop infrastructure supporting the full cycle of machine learning, including data pipelines and workflow orchestration, data discovery and quality tools, and feature libraries - Drive data and ML-driven solutions for diverse engineering use cases such as recommendation systems, object detection, autogenerated tagging solutions, RAGs - Partner with product, editorial, and engineering stakeholders to translate business requirements into robust technical solutions - Strategically prioritize initiatives and technical workstreams to deliver the highest-impact and most time-sensitive outcomes, while proactively identifying, communicating, and mitigating risks to ensure successful execution - Champion engineering best practices across code quality, testing, CI/CD, observability, and incident response - Mentor and coach engineers, fostering a culture of ownership, collaboration, and continuous improvement - Contribute to technical documentation and promote knowledge sharing across teams Required Education, Experience/Skills/Training: Minimum and Preferred. Inclusive of Licenses/Certs (include functional experience as well as behavioral attributes and/or leadership capabilities) Basic Qualifications - Bachelor’s degree in computer science, Information Systems, Statistics, Math, or comparable field of study, and/or equivalent work experience - 7+ years of software engineering experience - 5+ years of hands-on experience developing and deploying machine learning systems in production - Expertise in data science, deep learning algorithms, or statistical methods to solve real-world engineering problems - Comfortable operating at all levels of the predictive stack, including data collection, data analysis, feature engineering, batch training and low-latency online serving - Experience designing and developing backend microservices for large-scale distributed systems using REST - Experience with cloud infrastructure, preferably AWS (Step Functions, Lambda, Glue, SQS, SNS, Personalize) - Familiarity with developing and deploying Spark and ML pipelines - Hands-on experience with big data technologies such as Databricks, Kinesis, Kafka - Proven leadership, coaching, and mentoring skills, with the ability to inspire and empower a team towards achieving business goals - Experience with observability tools for metrics, logging, and monitoring such as Datadog - Experience working in Agile/Scrum development environments - Excellent communication skills and a commitment to collaboration in a fast-paced, guest-focused environment The hiring range for this position in New York, NY is $148,700 - $199,400 per year and in Glendale, CA is $141,900 - $190,300. 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. Job Posting Segment: Commerce, Data & Identity Job Posting Primary Business: PE - Sports, News & Entertainment, Enablement Primary Job Posting Category: Machine Learning Employment Type: Full time Primary City, State, Region, Postal Code: Glendale, CA, USA Alternate City, State, Region, Postal Code: USA - NY - 7 Hudson Square Date Posted: 2026-06-23

Job Posting Title: Senior Machine Learning Engineer - Disney Streaming Req ID: 10142542 Job Description: Role Location: This is an on-site role requiring 4 days in-person at designated office location. Disney Entertainment and ESPN Product & Technology 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. Here are a few reasons why we think you’d love working here: Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Job Summary: Our team designs and builds models that directly shape the user experience – powering personalization and engagement across our Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. With a strong product mindset and a focus on usability, we ensure every ML-driven product enhances how users discover, interact, and enjoy our experiences. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes. This is an Individual Contributor role. You will be expected to lead recommendation and personalization algorithm research, development, and productionization for product areas, and to coordinate requirements and manage stakeholder expectations with Product, Engineering, and Editorial teams. As an IC, you will also be responsible for helping to set the roadmap for algorithmic work — not only for how to approach product requests for new recommendation features, but for helping to drive larger company objectives in the areas of personalization and recommendations. Responsibilities and Duties of the Role: - Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams - Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets - Development Best Practices: Maintain existing and establish new algorithm development, testing, and deployment standards - Collaborate with product and business stakeholders: Identify and define new personalization opportunities and work with other data teams to improve how we do data collection, experimentation and analysis Required Education, Experience/Skills/Training: Basic Qualifications - 5+ years of experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience - 5+ years writing production-level, scalable code (Python, SQL) - 3+ years of experience developing algorithms for deployment to production systems - In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings - Experience deploying and maintaining pipelines and in engineering big-data solutions using technologies like Databricks, S3, and Spark - Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate - Strong written and verbal communication skills Preferred Qualifications - MS or PhD in statistics, math, computer science, or related quantitative field - Production experience with developing content recommendation algorithms at scale - Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment - Familiar with metadata management, data lineage, and principles of data governance - Experience loading and querying cloud-hosted databases Experience with: - AWS, Databricks Required Education - Bachelor’s Degree in Computer Science, Math, Statistics, or related quantitative field disneytech The hiring range for this position in New York, NY is $148,700 - $199,400 per year and in Santa Monica, CA is $141,900 - $190,300. 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. Job Posting Segment: Product Engineering Job Posting Primary Business: PE - Streaming Backend Primary Job Posting Category: Machine Learning Employment Type: Full time Primary City, State, Region, Postal Code: New York, NY, USA Alternate City, State, Region, Postal Code: USA - CA - 1200 Grand Central Ave Date Posted: 2026-02-13

Job Posting Title: Lead Machine Learning Engineer Req ID: 10143264 Job Description: This is not a remote role. You must be in the local area or willing to relocate. Department/Group Overview: The cross-media measurement and advanced analytics organization is responsible for data strategy & management, cross-platform content measurement, Content marketing measurement, and linear and digital inventory forecasting. The team provides advanced analytics and actionable insights related to Disney entertainment's content, monetization, and audience development. The Data and Analytics Operations team is part of the Cross-Media Measurement and Advanced Analytics organization (CMMAA) . Reporting to the Executive Director of Data and Analytics Operations, this team leverages advanced machine learning techniques to deliver a robust suite of analytics solutions. Their portfolio includes descriptive, predictive, and prescriptive analytics, underpinned by strong data management practices and an interoperability layer. These capabilities are structured to support a range of business goals, such as content production, marketing and monetization. Job Summary: The Lead Machine Learning Engineer is a senior individual contributor who provides technical leadership for complex machine learning systems and the data foundations required to operate them. This role applies machine learning techniques in code (e.g., supervised/unsupervised learning, deep learning/neural networks where appropriate, and advanced modeling approaches) to build predictive systems at scale for identity, audience, and cross-platform measurement. The position also leads architecture and standards for ML pipelines that capture, manage, store, and utilize large-scale structured and unstructured data, ensuring data integrity, interoperability, and reliability across production environments. Responsibilities and Duties of the Role: • Lead development, training, and deployment of advanced ML models for identity resolution, look-alike modeling, and cross-platform measurement; translate algorithms into production-quality code; optimize for scale and performance. • Architect scalable ML platforms and reusable components (training/inference pipelines, feature/label foundations, model serving patterns) that operate across distributed cloud and platform environments • Lead data and feature foundations: define data contracts, metadata/lineage expectations, and automated quality controls to maintain data integrity across structured/unstructured sources in Snowflake/Databricks. • MLOps & reliability: establish CI/CD patterns, model versioning/registry practices, automated evaluation, drift detection, monitoring dashboards/alerts, and operational playbooks for sustained production health. • Cross-functional technical leadership: drive design reviews, clarify technical requirements, and lead multi-quarter initiatives with product, analytics, and platform engineering stakeholders. • Mentorship & enablement: mentor engineers through code/design reviews; build shared libraries and best practices to improve team velocity and quality. • Privacy, governance & compliance: ensure privacy-by-design practices, PII safeguards, documentation, and audit readiness across ML workflows (GDPR/CCPA). Required Education, Experience/Skills/Training: Minimum Qualifications: • Must have strong production experience with deep-learning, genAI, or retrieval-augmented systems (PyTorch, vector databases) and real-time data pipelines (Kafka, Pub/Sub, Kinesis) • Must have 7+ years of professional experience delivering production ML systems (models + pipelines + monitoring) at scale • Must have advanced coding skills in Python and SQL; strong software engineering discipline (testing, CI/CD, code review, design documentation) • Must have demonstrated experience applying ML techniques in code to develop predictive systems at scale (including deep learning where appropriate) • Must have hands-on expertise with cloud-native data platforms and distributed compute (Snowflake/Databricks/Spark/BigQuery) and container orchestration (Docker/Kubernetes) • Proven ability to lead technical initiatives across teams and influence architecture and standards Preferred Qualifications: • 8+ years total experience, with hands-on work in media, advertising technology, or cross-platform audience measurement • Strong understanding with modern MLOps stacks (e.g., MLflow, Kubeflow, Vertex AI, SageMaker) and model-governance practices (metadata, lineage, drift detection) • Certifications such as Google Professional Machine Learning Engineer, AWS Certified Machine Learning – Specialty, or equivalent cloud/data credentials • Contributions to open-source ML or data-engineering projects, conference presentations, or peer-reviewed publications • Experience in media/ad tech, identity graphs, audience measurement, or interoperability layers • Experience with modern MLOps platforms (MLflow, Kubeflow, Vertex AI, SageMaker) and model governance practices Required Education: • Bachelor's degree in a relevant technical or science field (e.g. computer science, data science, mathematics, or a related discipline) Preferred Education: • Master’s degree or PhD in a relevant field (e.g., Applied Math, Computer Science, Computational Science, Operation Research, Data Science) DISNEYTECH The hiring range for this position in New York City is $179,700.00 - $225,000.00 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. Job Posting Segment: Networks and News Groups Job Posting Primary Business: Research, Insights & Analytics Primary Job Posting Category: Machine Learning Employment Type: Full time Primary City, State, Region, Postal Code: New York, NY, USA Alternate City, State, Region, Postal Code: Date Posted: 2026-02-25

Job Posting Title: Lead Machine Learning Engineer, Ads Research Req ID: 10142044 Job Description: 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. Here are a few reasons why we think you’d love working here: - Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. - Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. - Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney’s industry-leading ad technology and products – driving advertising performance, innovation, and value in Disney’s sports, news, and entertainment content, across all media platforms. This position will be responsible for working across multiple machine learning areas with primary focus on specialization in generative AI applications, including generative mixed media, language models, and other agentic multimodal technologies.  Areas of work may include generative video, generative image, generative audio, chatbots, LLM applications, and mixed agentic workflows.  Work will additionally include traditional machine learning applications as well, including development of classical ML models to optimize advertisement marketplace operations. Our mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance generative advertisement creation and enhancement, as well as supporting efforts in more traditional AI application spaces such as Ad marketplace optimization, forecasting, and related ML and generative AI experimentation. We are seeking a Lead Machine Learning Engineer to join this innovative team. This role offers a unique leadership opportunity for an experienced ML engineer who thrives at the intersection of technical excellence, emerging technology, strategic impact, and cross-functional collaboration, across both generative AI and traditional ML applications. WHAT YOU’LL DO - Develop, optimize, and productionize innovative technologies in generative AI (mixed media, video, and agentic LLM applications) as well as in traditional ML modeling applications. - Create, evaluate, improve, optimize technologies - Drive innovation and apply state of the art AI and machine learning across advertising domains, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. - Invent and iterate on novel solutions to complex advertising challenges with rapid prototyping and deployment cycles. - Design, build, and scale robust ML systems that power core ad platform capabilities - Champion engineering excellence through best practices in code quality, system design, and operational reliability. - Mentor and support junior engineers, fostering a culture of continuous learning and technical growth. WHAT TO BRING - Bachelor's in computer science or equivalent experience. - Prior experience rigorously developing, researching, and/or productionizing any of the following generative AI modeling or AI-based editing domains: image, video, mixed media, audio, LLMs, or agentic flows. - Experience creating ML datasets (especially in computer vision or generative AI) or developing rigorous quality evaluation processes or data labeling processes.  Must include an appreciation for the importance of rigorous quality evaluation processes. - Experience developing language-processing applications via LLMs or agentic flows. - Experience in rapid creative prototyping with generative AI is a plus, such as examples of rapid development of creative generative AI prototyping in research labs, hackathons, etc. - Minimum 7 years of hands-on experience developing and deploying large-scale machine learning systems. - Strong knowledge of AI/ML technologies, mathematics and statistics. - Excellent communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences. - Strong foundations in algorithms, data structures, and numerical optimization with experience in programming languages such as Python (primary), Java and SQL - Familiarity with deep learning tools and frameworks such as TensorFlow, Pytorch, Jax, Hugging libraries etc. - Expert knowledge with traditional (tabular) ML modeling and methods. - Proven proficiency in deep learning methodologies, fine tuning, and transformer architectures. - A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment. - Experience working closely with UX and front end designers building production generative AI products. NICE-TO-HAVES - MS or PhD (preferred) in computer science or equivalent experience. - Experience with multimodal models and embedding techniques. - Computer vision or visual content understanding experience. - Experience in digital video advertising or digital marketing domain. Location : Seattle / Santa Monica / Glendale DISNEYTECH The hiring range for this position in Santa Monica, CA is $171,600 to $230,100 per year and in Seattle is $179,700 to $241,000. 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. Job Posting Segment: Ad Platforms Job Posting Primary Business: AP - Engineering Primary Job Posting Category: Machine Learning Employment Type: Full time Primary City, State, Region, Postal Code: Seattle, WA, USA Alternate City, State, Region, Postal Code: USA - CA - 1200 Grand Central Ave, USA - CA - 2450 Broadway Date Posted: 2026-02-05

Job Posting Title: Sr Data Engineer Req ID: 10145881 Job Description: The Senior Data Engineer will design, build, and operate scalable data pipelines and data products in AWS and Snowflake that power analytics, reporting, and machine learning use cases across Disney Experiences. This role implements, troubleshoots, and optimizes distributed solutions using technologies such as SQL, S3, Glue, and Snowflake, and solves large-scale processing challenges in a cloud data warehouse environment. The Senior Data Engineer designs and maintains curated datasets and data products that support reporting, analytics, machine learning, and operational decision-making. The ideal candidate applies technical expertise to challenging engineering problems and demonstrates strong communication, collaboration, and teamwork skills within an Agile environment. What You'll Do: - Design, develop and maintain data pipelines in AWS & Snowflake - Design and develop curated datasets, data models, and data products; assist with architecture decisions, deployment, and feedback - Debug and troubleshoot across a broad technical stack - Demonstrated ownership of data products and ability to partner with business stakeholders in large-scale enterprise environments - Working with a variety of business partner groups across Disney Parks and Resorts to implement optimal technical solutions Required Qualifications & Skills: - 5+ years of professional data engineering experience in a cloud-based data warehouse environment - Strong knowledge of Python and object-oriented programming concepts - Working knowledge of Java sufficient to troubleshoot and maintain existing applications - Proficiency with GitHub - Experience leveraging   modern developer productivity tools, including AI-assisted coding tools such as Cursor, GitHub Copilot, or similar solutions - Experience building data pipelines and complex data transformations - 5+ years of professional experience in data engineering, including designing, developing, and operating of cloud-based data solutions using AWS services such as S3, Glue, Lambda, Step Functions, EventBridge, Kinesis, or similar cloud-native data engineering technologies - Solid working experience with Snowflake native objects and features - Working knowledge of Data Build Tool (dbt) - 5+ years of experience in software development in an agile environment - Production experience with infrastructure-as-code tools such as Terraform or AWS CDK - Strong conceptual understanding of security at rest and in transit for big data pipelines - Troubleshooting skills, ability to determine impacts, ability to resolve complex issues, and ability to exercise sound judgment and initiative in complex situations - Strong systems and data analysis skills, and experience with data unit and integration testing Required Education - Bachelor’s Degree in Computer Science, Distributed Computing, Machine Learning, Mathematics, Information Systems, Engineering, Data Science or related field The hiring range for this position in California is $135,200.00 to $181,200.00 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. Job Posting Segment: DX Technology Job Posting Primary Business: Emerging Tech & Data Primary Job Posting Category: Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Orlando, FL, USA Alternate City, State, Region, Postal Code: USA - CA - 1200 Grand Central Ave Date Posted: 2026-04-13

Job Posting Title: Lead Product Manager, Data & AI Integration, Technology VMO (Project Hire) Req ID: 10149245 Job Description: At Disney,   we’re   storytellers. We make the   impossible,   possible. The Walt Disney Company is a world-class entertainment and technological leader. Walt’s passion was to continuously envision new ways to move audiences around the world—a passion that   remains   our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news,   movies   and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences — and   we’re   constantly looking for new ways to enhance these exciting experiences. The Enterprise Technology & Data mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Team Description: The Technology Process and Performance organization partners across all organizations to drive process efficiencies and effectiveness by measuring the organization's performance and driving excellence. As part of the TP&P team, the Technology Vendor Management Office (VMO) is dedicated to enhancing the efficiency and effectiveness of vendor-related processes across our organization. As part of this mission, the VMO aims to   leverage   data-driven insights to   optimize   vendor management, streamline operations, and support informed decision-making. The   Lead   Product Manager, Data & AI Integration, VMO Transformation owns the strategy, roadmap, and execution of the Technology VMO, Sourcing and Business Management data and AI capabilities that enable vendor management optimization, cost transparency, and operational decision making. The   Lead   Product Manager, Data & AI Integration, VMO Transformation focuses on delivering   end-to-end   visibility into demand, spend, cost drivers, and performance, enabling leaders to manage vendor portfolios with greater financial discipline and clarity. Operating as a senior individual contributor, this role partners across VMO, finance, sourcing, business operations, and technology to translate complex cost, demand, and performance needs into durable data and AI enabled product capabilities, integrating the enterprise data & AI strategy to drive standardization, transparency, and optimization across vendor related operations while reducing manual effort and reconciliation. This is a project hire role with an expected assignment length of   24 months . What   You’ll   Do: - Own the product vision, strategy, and roadmap for data integration, analytics, and AI capabilities supporting vendor management optimization and cost transparency. - Drive   outcome based   prioritization across initiatives (e.g., cost transparency, spend visibility, performance insights, workflow automation), balancing stakeholder needs, feasibility, and measurable impact. - Translate business and operational needs into epics, user stories, acceptance criteria, and a prioritized backlog, partnering with delivery teams through refinement and release planning. - Define and deliver product capabilities that enable vendor performance visibility, portfolio insights, and spend transparency, including clear success criteria and user outcomes. - Define data requirements and integration needs, enabling reliable,   analytics   ready   views across systems to support planning, forecasting, and performance tracking. - Support delivery of   AI ‑ assisted   capabilities (e.g., forecasting, anomaly detection, insight summarization) within established platforms, standards, and guardrails. - Lead ongoing backlog management, UAT, and release readiness, accountable for adoption and delivery of measurable business outcomes. - Communicate product plans,   trade ‑ offs , risks, and insights clearly to business and technical stakeholders. - Facilitate alignment across   cross ‑ functional   partners with differing priorities through structured discussions and clear decision framing. - Support governance, controls, and compliance requirements related to data, financial transparency, and operational processes. - Help drive   adoption   of new product capabilities and workflows through clear documentation, enablement, and change support. - Contribute to risk mitigation and continuous improvement through standards, transparency, KPI tracking, and   post ‑ implementation   review. Required Qualifications & Skills: - Minimum of   7+ years of technical product management or relevant experience. - Demonstrated experience owning product vision, strategy, and roadmaps for data integration, analytics, and   AI ‑ enabled   solutions within a defined product area. - Strong background in standardizing, automating, and   optimizing   vendor management and financial workflows to improve efficiency and transparency. - Ability to design and deliver capabilities for vendor performance management, portfolio optimization, and spend visibility. - Experience supporting cost transparency and auditable financial processes, including demand, consumption, and cost tracking. - Skilled in   establishing   standardized data taxonomies and definitions to enable consistent reporting and AI readiness. - Proficient in defining data integrations and analytics to support planning, forecasting, and performance measurement. - Ability to   identify , prioritize, and help deliver   business relevant , explainable AI use cases aligned to operational and financial needs. - Strong execution skills, including translating requirements into user stories, acceptance criteria, and prioritized backlogs. - Experience measuring   post ‑ implementation   impact, such as improvements in cost transparency, forecast accuracy, and decision speed. - Strong advisory, communication, and   stakeholder management   skills, with comfort supporting   executive ‑ level   reporting and   cross ‑ functional   collaboration. - Solid understanding of financial controls, auditability, security, and responsible data and AI usage in enterprise settings. - Ability to define,   monitor , and support continuous improvement using KPIs related to cost transparency, vendor performance, and optimization outcomes. - Experience working with data products delivered on Snowflake, including understanding how data is modeled, governed, and consumed for analytics, reporting, and operational insights. - Experience partnering with analytics teams to deliver dashboards and KPIs using   Power BI and/or Tableau , including defining requirements, metrics, and consumption patterns. - Experience managing product roadmaps, backlogs, user stories, and delivery artifacts using standard product management and Agile delivery tools. Preferred Qualifications: - Experience with leading complex integration of data products. - Familiarity using enterprise data catalogs such as   Alation . - Familiarity with adjacent enterprise data platforms such as   Databricks . - Experience working within enterprise   data governance, security, and confidentiality   standards . - Experience with complex contract billing structures (Fixed vs. Variables and Resource Units measurement), and deep   expertise   in process and tools   leveraged   for vendor reporting and invoicing. - Advanced degree (e.g., MBA, MS)   preferred   but not   required . Education: - Bachelor’s degree in Business , Technology, Computer Science, Information Systems, Engineering, or   comparable field of study, and/or equivalent work experience DISNEYTECH The hiring range for this position in Burbank, CA is $141,900 to $190,300 per year, in Orlando, FL is $135,200 to $181,200 per year and in Seattle, WA is $148,700 to $199,400 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. Job Posting Segment: Enterprise Technology and Data Job Posting Primary Business: Technology Processes & Performance Primary Job Posting Category: Product Management Solutions Employment Type: Full time Primary City, State, Region, Postal Code: Burbank, CA, USA Alternate City, State, Region, Postal Code: USA - FL - Kirkman Point 1, USA - WA - 925 4th Ave Date Posted: 2026-05-12

Job Posting Title: Lead Machine Learning Engineer Req ID: 10154653 Job Description: Disney Entertainment and ESPN Product & Technology 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. Here are a few reasons why we think you’d love working here: - Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. - Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. - Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. The Core ML team is an applied science and machine learning engineering team that owns the core personalization algorithms powering Disney+ and Hulu. Our work spans real-time ranking, content and user understanding, candidate retrieval, and post-ranking, serving recommendations to one of the largest streaming audiences in the world. We operate at the intersection of research and production: we ideate, prototype, validate, and ship, and we are responsible for driving the innovation that moves the personalization experience forward Job Summary: We are looking for a Lead Machine Learning Engineer to help us ideate, develop, iterate on, and productionize personalization algorithms across the recommendation stack. This includes our core ranking algorithms, content and user understanding models and graphs, as well as candidate retrieval and post-ranking systems. There is more than one way to be a great fit for this role. You might be a strong applied scientist with sharp intuition for recommendation approaches, evaluation methodology, and how data, features, and objectives shape model behavior. You might be a strong end-to-end ML engineer who can take ideas to production at scale and keep systems healthy, maintainable, and easy to iterate on. Ideally, you bring a blend of both: someone who generates ideas of their own, helps other applied scientists bring theirs to life, and can jump in from either the science or the engineering side when something needs attention. This is also an opportunity to work at the frontier. We are especially excited about candidates with strong relevant experience (RecSys, ML, AI/LLM) who can help bridge where recommendation systems are today and where the field is heading, applying modern AI techniques not only to improve recommendations themselves, but to improve how we build, evaluate, and iterate on our systems. In this role, you will help drive the vision and innovation behind Disney's personalization systems, with the goal of delighting our users through great content recommendations, improving customer satisfaction, and deepening our understanding of both content and users. Responsibilities: - Algorithm development: Ideate, develop, iterate on, and productionize personalization algorithms, including core ranking, content and user understanding models and graphs, candidate retrieval, and post-ranking systems. - AI and LLM innovation: Apply modern AI and LLM techniques to recommendation systems, including using them to generate and improve recommendations, strengthen system evaluation, and accelerate how we build and improve our models. - Applied science: Contribute ideas and insight on recommendation approaches, evaluation methodology, and how we define data, features, and objectives for our models, and help other scientists on the team shape and productionize their ideas. - Vision and roadmap: Help drive the technical vision and innovation agenda for personalization, identifying high-impact opportunities and shaping how the team approaches them. - Experimentation and evaluation: Design and run rigorous offline and online experiments, and contribute to improving our evaluation systems and methodology. - Collaboration: Work closely within the team and across Engineering, Product, and Data partners, communicating methodologies clearly to technical and non-technical audiences and managing stakeholder expectations. - ML engineering: Build production-worthy, maintainable systems that are easy to iterate on, uphold strong standards for development, testing, and deployment, and jump in to support when production issues arise. : Basic Qualifications - 7+ years of experience developing machine learning models and deploying them to production systems - Strong background in applied ML science, end-to-end ML engineering, or ideally a blend of both, with experience in recommendation systems modeling - Hands-on experience with AI and LLM techniques and a solid understanding of the modern AI landscape - Proficiency with tools and frameworks such as PyTorch, TensorFlow, Databricks, Spark, and SQL - In-depth understanding of modern machine learning methods, models, and their mathematical underpinnings - Strong written and verbal communication skills - A collaborative, personable working style; works well within the team and across teams rather than operating in isolation Preferred Qualifications - PhD in computer science, statistics, math, or a related quantitative field - Publications or papers in machine learning or AI, especially in recommender systems - Production experience developing content recommendation algorithms at scale - Experience with reinforcement learning or related sequential decision-making approaches - Experience with evaluation methodology for recommendation systems, including offline evaluation and A/B experimentation Required Education - BS or MS in Computer Science, Engineering, or a related field The hiring range for this position in San Francisco, CA is $187,900.00 - $252,000.00 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. Job Posting Segment: PE - Streaming Backend Job Posting Primary Business: PE - Streaming Backend - Recommendation & Personalization Engineering Primary Job Posting Category: Machine Learning Employment Type: Full time Primary City, State, Region, Postal Code: San Francisco, CA, USA Alternate City, State, Region, Postal Code: USA - CA - 2500 Broadway Street, USA - WA - 925 4th Ave Date Posted: 2026-07-13

Job Posting Title: Lead Product Manager, AI Platform Req ID: 10151165 Job Description: At Disney Experiences Technology, our team creates world-class immersive digital experiences for the Company’s premier vacation brands including Disney’s Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club. We are responsible for the end-to-end Guest experience for all technology & digitally led initiatives across Attractions & Entertainment, Food & Beverage, Resorts & Transportation, and Merchandise lines of business, as well as AI-related innovation. This role sits within the AI Center of Excellence (COE) inside DX Tech & Digital, focused on building and scaling the internal AI Platform that powers next-generation intelligent solutions across Disney Experiences. As a Lead Product Manager (AI Platform), you will report into the Senior Manager, AI Platform, and serve as the senior technical IC inside a Product Engineering pod focused on translating internal stakeholder needs into shipped AI capabilities on the platform stack. You will own the path from initial stakeholder conversation through working system — scoping, building, evaluating, and graduating or retiring AI work end-to-end — and will set the technical direction for how the team prototypes and ships. You will operate independently of the standard sprint cycle, work directly with internal stakeholders without a PM intermediary, and influence adjacent engineers and PMs without managing them. This role is an individual contributor; mentorship of adjacent engineers and PMs is expected, but no direct reports. What You'll Do - Take internal stakeholder asks from initial conversation to shipped AI capability: owning discovery, scoping, design, build, and rollout end-to-end, without waiting for requirements to be handed down. - Build AI-native workflows on the internal AI Platform stack: prompts, agents, retrieval pipelines, evaluation harnesses, and the integrations that make them useful. - Drive technical direction for the Product Engineering pod within the AI Platform team: setting prototyping standards, evaluation patterns, and shared tooling that the rest of the team builds on. - Operate independently of the standard sprint cycle; make product and architecture decisions in a low-structure environment, knowing when to cut scope, when to ship, and when to ask for input. - Share work-in-progress at 70% complete to gather stakeholder feedback and iterate, rather than holding work until it's polished. - Instrument prototypes with eval frameworks to know whether a capability is earning its place; graduate, harden, or retire work deliberately based on what the data shows. - Build prototypes, demos, and mockups that demonstrate AI capability to stakeholders, validate emerging platform patterns, and serve as reference implementations to future work. - Mentor adjacent engineers and PMs on AI prototyping and outcome-driven development; serve as the point of escalation for prototype-stage work across the team. - Influence cross-team alignment with platform engineers, AI ops, security and compliance partners, and PMs, driving outcomes through influence rather than authority. - Communicate technical tradeoffs and recommendations to senior stakeholders, connecting platform capability to measurable business outcomes. Basic Qualifications - Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent years of work experience. - 7+ years of combined experience across software engineering and product roles in technical or AI-platform contexts. - Production experience with LLM-powered applications, including advanced prompt engineering, agent frameworks, evaluation pipelines, and retrieval-augmented generation. - Hands-on technical capability sufficient to scope, build, and ship a working prototype end-to-end – comfortable in Python and modern AI tooling, able to operate without engineering or PM handoff. - Demonstrated experience taking ambiguous stakeholder asks and returning working systems, comfortable talking to users directly, without waiting for a product manager to define requirements. - Demonstrated history of taking products or capabilities from 0 → 1 inside an enterprise or platform environment, with measurable adoption outcomes. - Hands-on production experience with at least one LLM gateway (LiteLLM, OpenRouter, Bedrock, or equivalent), one workflow or agent runtime (n8n, LangGraph, Temporal, or equivalent), and one evaluation or observability framework (Arize, Phoenix, Langfuse, or equivalent). - Demonstrated judgment in scope, speed, and quality tradeoffs: knowing when to ship at 70% to learn fast, when to harden, and when to retire work that isn't paying off. - Track record of driving cross-team outcomes through influence without direct authority: coordinating with PMs, platform engineers, and adjacent engineering teams. - Excellent communication skills, including the ability to translate AI capability into business outcomes for senior stakeholders. Preferred Qualifications - Background as a forward-deployed engineer, applied AI engineer, or product-minded engineer in an AI-native company or AI platform context. - Direct production experience with MCP (Model Context Protocol), OpenWebUI, n8n, LiteLLM or similar tools within this space. - History shipping deliberately scrappy prototypes for stakeholder learning, with the judgment to distinguish prototype scale from production scale. - Familiarity with enterprise security, compliance, and governance patterns for AI systems. - Experience instrumenting AI products with eval frameworks and AI observability tooling. - Background partnering with non-technical senior leaders to decompose business problems into shipped AI capabilities. The hiring range for this position in Orlando, FL $148,300 to $198,800 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. Job Posting Segment: DX Technology Job Posting Primary Business: Tech Delivery, Platforms, & Core Systems Primary Job Posting Category: Product Management Employment Type: Full time Primary City, State, Region, Postal Code: Bay Lake, FL, USA Alternate City, State, Region, Postal Code: Date Posted: 2026-06-09

Job Posting Title: Senior Machine Learning Engineer - ESPN Req ID: 10150610 Job Description: 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. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Job Summary: ESPN is investing in large‑scale data infrastructure and real‑time processing platforms that power next‑generation personalization and live sports experiences. As a Machine Learning Engineer, you will focus on building and operating distributed data and ML infrastructure that supports high‑throughput, low‑latency data processing and real‑time ML use cases. In this role, you will work closely with senior MLEs, data engineers, platform/SRE, and product teams to develop streaming data pipelines, feature computation systems, and ML‑adjacent services that operate reliably at scale. The role emphasizes hands‑on engineering, strong fundamentals in distributed systems, and practical experience operating production data infrastructure. Responsibilities and Duties of the Role: 1) Large-Scale Data Processing & Streaming Systems - Build and maintain high‑throughput batch and streaming data pipelines to support ML, analytics, and real‑time decisioning use cases. - Implement data ingestion, enrichment, aggregation, and transformation workflows using modern distributed data frameworks. - Ensure pipelines meet latency, reliability, and data quality requirements for downstream ML and product teams. 2) Real‑Time Data & Feature Infrastructure - Develop and operate systems that support real‑time feature computation and delivery for online ML services. - Work with feature stores and event‑driven architectures to ensure consistency between offline and online data. - Improve data freshness, schema evolution, and backward compatibility in streaming environments. 3) ML-Adjacent infrastructure & Platform Engineering - Build and operate ML‑adjacent services such as inference inputs, feature APIs, and data access layers. - Contribute to scalable service patterns including autoscaling, rollout strategies, and resiliency mechanisms. - Partner with platform/SRE teams to improve system availability, performance, and cost efficiency. 4) Reliability, Observability & Operations - Instrument data and ML infrastructure with metrics, logging, and alerting to support production operations. - Participate in on‑call rotations and incident response for data and ML platforms. - Identify and remediate data pipeline failures, performance regressions, and operational risks. 3)  Collaboration & Engineering Execution - Collaborate with applied ML and data science teams to enable production ML workflows through reliable data systems. - Participate in design reviews, code reviews, and technical discussions. - Follow established platform standards and contribute incremental improvements over time Required Education, Experience/Skills/Training: Basic Qualification: - Experience building and operating large‑scale data or ML systems in production. - Strong fundamentals in distributed systems and data processing architectures. - Hands‑on experience with streaming and batch data technologies (e.g., Kafka, Kinesis, Spark, Flink, or equivalent). - Proficiency in Python and working knowledge of Java, Scala, Go, or C++. - Experience operating systems in cloud‑native environments (AWS, containers, Kubernetes, IaC tools). - Familiarity with observability and operational best practices for production systems. - Strong collaboration skills and ability to work effectively across engineering and data teams Preferred qualification: - Experience supporting real‑time personalization, recommendation, or analytics systems. - Familiarity with feature stores, event‑driven architectures, and real‑time ML pipelines. - Exposure to ML infrastructure concepts such as inference pipelines, data validation, and model lifecycle tooling. - Experience optimizing data systems for latency, throughput, and cost efficiency. - Understanding of experimentation platforms and data instrumentation for online systems. Experience with: - 5+ years of industry experience building data‑intensive or ML‑adjacent systems in production Required Education - Bachelor’s or Master’s degree in Computer Science, Data Engineering, Machine Learning, or a related field The hiring range for this position in New York, NY is $148,700 - $199,400 per year and in Glendale, CA is $141,900 - $190,300. 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. Job Posting Segment: Product Engineering Job Posting Primary Business: PE - Streaming Backend Primary Job Posting Category: Machine Learning Employment Type: Full time Primary City, State, Region, Postal Code: Glendale, CA, USA Alternate City, State, Region, Postal Code: USA - CA - Market St, USA - NY - 7 Hudson Square Date Posted: 2026-06-05

Job Posting Title: Lead Software Engineer-AI Licensing & Publishing Systems Req ID: 10132666 Job Description: At Disney, we’re storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) is a world-class entertainment and technological leader. Walt’s passion was to continuously envision new ways to move audiences around the world—a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences — and we’re constantly looking for new ways to enhance these exciting experiences. This role sits within the Technology & Digital organization for Disney Experiences and collaborates closely with cross-functional teams across the company. The Lead Software Engineer will report to the Sr Manager, Technology. About the Role & Team We are seeking a visionary Lead Software Engineer to drive the development of scalable, intelligent systems that support licensing financial operations and AI-driven decision-making. This role will be instrumental in shaping the architecture and delivery of next-generation platforms that power financial licensing workflows and predictive analytics. What You’ll Do - Lead the design, development, and deployment of software solutions for licensing financial systems and AI-powered applications. - Architect and implement scalable services that integrate with internal and third-party financial platforms. - Collaborate with product, finance, and data science teams to define system requirements and deliver intelligent automation. - Apply machine learning and AI techniques to optimize licensing workflows, forecasting, and compliance monitoring. - Own the full software development lifecycle, including analysis, design, coding, testing, debugging, and documentation. - Mentor junior engineers and foster a culture of innovation, inclusion, and technical excellence. - Stay current with emerging technologies in AI, financial systems, and cloud-native development to inform strategic decisions. Required Qualifications & Skills: - 7+ years of software engineering experience, including leadership of complex projects. - Proven experience with financial systems, licensing workflows, or royalty management platforms. - Hands-on expertise of developing and deploying custom AI solutions using LLMs to automate  business processes or improve business outcomes in enterprise environments . - Excellent programming skills in languages such as Java and Python. - Experience with cloud platforms (AWS,GCP) and container orchestration (e.g., Kubernetes). - Agile development experience and familiarity with CI/CD pipelines. - Excellent communication and stakeholder engagement skills. Preferred Qualifications - Experience with licensing systems in media, entertainment, or digital content industries. - Familiarity with financial compliance standards and audit processes. Education Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience). Master’s degree in Technology is a plus. DISNEYTECH The hiring range for this position in Glendale California is $150,000-$180,000 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. Job Posting Segment: DX Technology Job Posting Primary Business: Tech Delivery, Platforms, & Core Systems Primary Job Posting Category: Software Engineer Employment Type: Full time Primary City, State, Region, Postal Code: Orlando, FL, USA Alternate City, State, Region, Postal Code: USA - CA - 1200 Grand Central Ave Date Posted: 2025-10-08

Senior Data Scientist, Ads Research at Disney. Discipline: Engineering. Experience level: Senior. Employment type: Full Time. Location: 3 Locations. Relevant tags: Engineering. Source: workday. Apply at https://disney.wd5.myworkdayjobs.com/job/Seattle-WA-USA/Senior-Data-Scientist--Ads-Research_10142038

Data Scientist II - Marketing Science at Disney. Discipline: Engineering. Experience level: Mid-Level. Employment type: Full Time. Location: 4 Locations. Relevant tags: Engineering. Source: workday. Apply at https://disney.wd5.myworkdayjobs.com/job/New-York-NY-USA/Data-Scientist-II---Marketing-Mix-Models_10137431

Lead Machine Learning Engineer, Ads Research at Disney. Discipline: Engineering. Experience level: Lead. Employment type: Full Time. Location: 3 Locations. Relevant tags: Engineering. Source: workday. Apply at https://disney.wd5.myworkdayjobs.com/job/Seattle-WA-USA/Lead-Machine-Learning-Engineer--Ads-Research_10142044

Senior Machine Learning Engineer, Ad Platforms at Disney. Discipline: Engineering. Experience level: Senior. Employment type: Full Time. Location: 3 Locations. Relevant tags: Engineering. Source: workday. Apply at https://disney.wd5.myworkdayjobs.com/job/Seattle-WA-USA/Senior-Machine-Learning-Engineer--Ad-Platforms_10142043

Staff Product Manager, AI Platforms at Disney. Discipline: Production. Experience level: Manager. Employment type: Full Time. Location: 2 Locations. Relevant tags: Production. Source: workday. Apply at https://disney.wd5.myworkdayjobs.com/job/Seattle-WA-USA/Staff-Product-Manager--AI-Platforms_10140305

Sr Machine Learning Engineer - Personalization at Disney. Discipline: Engineering. Experience level: Senior. Employment type: Full Time. Location: 2 Locations. Relevant tags: Engineering. Source: workday. Apply at https://disney.wd5.myworkdayjobs.com/job/New-York-NY-USA/Sr-Machine-Learning-Engineer---Personalization_10142542

Senior Machine Learning Engineer, Ads Research at Disney. Discipline: Engineering. Experience level: Senior. Employment type: Full Time. Location: 2 Locations. Relevant tags: Engineering. Source: workday. Apply at https://disney.wd5.myworkdayjobs.com/job/Seattle-WA-USA/Senior-Machine-Learning-Engineer--Ads-Research_10140854

Lead Machine Learning Engineer, Ad Platforms at Disney. Discipline: Engineering. Experience level: Lead. Employment type: Full Time. Location: 2 Locations. Relevant tags: Engineering. Source: workday. Apply at https://disney.wd5.myworkdayjobs.com/job/Santa-Monica-CA-USA/Lead-Machine-Learning-Engineer--Ad-Platforms_10137358

Lead Software Engineer-Licensing/AI Systems at Disney. Discipline: Engineering. Experience level: Lead. Employment type: Full Time. Location: 2 Locations. Relevant tags: Engineering. Source: workday. Apply at https://disney.wd5.myworkdayjobs.com/job/Glendale-CA-USA/Lead-Software-Engineer-Licensing-AI-Systems_10131937

Senior Machine Learning Engineer, Ad Platforms at Disney. Discipline: Engineering. Experience level: Senior. Employment type: Full Time. Location: 2 Locations. Relevant tags: Engineering. Source: workday. Apply at https://disney.wd5.myworkdayjobs.com/job/Seattle-WA-USA/Senior-Machine-Learning-Engineer--Ad-Platforms_10142078

Lead Machine Learning Engineer at Disney. Discipline: Engineering. Experience level: Lead. Employment type: Full Time. Location: New York, NY, USA. Relevant tags: Engineering. Source: workday. Apply at https://disney.wd5.myworkdayjobs.com/job/New-York-NY-USA/Lead-Machine-Learning-Engineer_10143264

Sr Machine Learning Engineer at Disney. Discipline: Engineering. Experience level: Senior. Employment type: Full Time. Location: New York, NY, USA. Relevant tags: Engineering. Source: workday. Apply at https://disney.wd5.myworkdayjobs.com/job/New-York-NY-USA/Sr-Machine-Learning-Engineer_10143265

Sr Software Engineer-Licensing/AI Systems at Disney. Discipline: Engineering. Experience level: Senior. Employment type: Full Time. Location: 2 Locations. Relevant tags: Engineering. Source: workday. Apply at https://disney.wd5.myworkdayjobs.com/job/Glendale-CA-USA/Sr-Software-Engineer-Licensing-AI-Systems_10133392

Lead Data Scientist, Ad Research at Disney. Discipline: Engineering. Experience level: Lead. Employment type: Full Time. Location: 3 Locations. Relevant tags: Engineering. Source: workday. Apply at https://disney.wd5.myworkdayjobs.com/job/Seattle-WA-USA/Lead-Data-Scientist--Ad-Research_10142041

Senior Software Engineer - AI Core Engineering at Disney. Discipline: Engineering. Experience level: Senior. Employment type: Full Time. Location: 3 Locations. Relevant tags: Engineering. Source: workday. Apply at https://disney.wd5.myworkdayjobs.com/job/Glendale-CA-USA/Sr-Software-Engineer_10140845

Senior Manager or Manager, AI Engineering at Disney. Discipline: Engineering. Experience level: Manager. Employment type: Full Time. Location: Bangalore, India. Relevant tags: Engineering. Source: workday. Apply at https://disney.wd5.myworkdayjobs.com/job/Bangalore-India/Senior-Manager-or-Manager--AI-Engineering_10142463

Senior Manager, Machine Learning at Disney. Discipline: Business & Operations. Experience level: Manager. Employment type: Full Time. Location: Bangalore, India. Relevant tags: Business & Operations. Source: workday. Apply at https://disney.wd5.myworkdayjobs.com/job/Bangalore-India/Senior-Manager--Machine-Learning_10142466

Principal Machine Learning Engineer at Disney. Discipline: Engineering. Experience level: Lead. Employment type: Full Time. Location: Bangalore, India. Relevant tags: Engineering. Source: workday. Apply at https://disney.wd5.myworkdayjobs.com/job/Bangalore-India/Principal-Machine-Learning-Engineer_10142465

Sr. Manager, Machine Learning Engineering at Disney. Discipline: Engineering. Experience level: Manager. Employment type: Full Time. Location: New York, NY, USA. Relevant tags: Engineering. Source: workday. Apply at https://disney.wd5.myworkdayjobs.com/job/New-York-NY-USA/Sr-Manager--Machine-Learning-Engineering_10144136

Staff AI Engineer at Disney. Discipline: Engineering. Experience level: Lead. Employment type: Full Time. Location: Bangalore, India. Relevant tags: Engineering. Source: workday. Apply at https://disney.wd5.myworkdayjobs.com/job/Bangalore-India/Staff-AI-Engineer_10142461-1

Staff Data Engineer (Audio/ML) at Disney. Discipline: Engineering. Experience level: Lead. Employment type: Full Time. Location: Nicasio, CA, USA. Relevant tags: Engineering. Source: workday. Apply at https://disney.wd5.myworkdayjobs.com/job/Nicasio-CA-USA/Staff-Data-Engineer_10129825

Senior Machine Learning Engineer at Disney. Discipline: Engineering. Experience level: Senior. Employment type: Full Time. Location: 3 Locations. Relevant tags: Engineering. Source: workday. Apply at https://disney.wd5.myworkdayjobs.com/job/Glendale-CA-USA/Senior-Machine-Learning-Engineer_10140852

Lead Machine Learning Engineer at Disney. Discipline: Engineering. Experience level: Lead. Employment type: Full Time. Location: 3 Locations. Relevant tags: Engineering. Source: workday. Apply at https://disney.wd5.myworkdayjobs.com/job/Glendale-CA-USA/Lead-Machine-Learning-Engineer_10140924

Principal AI Product Manager at Disney. Discipline: Production. Experience level: Manager. Employment type: Full Time. Location: 2 Locations. Relevant tags: Production. Source: workday. Apply at https://disney.wd5.myworkdayjobs.com/job/Glendale-CA-USA/Principal-AI-Product-Manager_10143206

Staff Product Manager, AI Development at Disney. Discipline: Production. Experience level: Manager. Employment type: Full Time. Location: Seattle, WA, USA. Relevant tags: Production. Source: workday. Apply at https://disney.wd5.myworkdayjobs.com/job/Seattle-WA-USA/Staff-Product-Manager_10137583

Senior Data Scientist at Disney. Discipline: Engineering. Experience level: Senior. Employment type: Full Time. Location: Kissimmee, FL, USA. Relevant tags: Engineering. Source: workday. Apply at https://disney.wd5.myworkdayjobs.com/job/Kissimmee-FL-USA/Senior-Data-Scientist_10145720

AI Automation Intern, Burbank, Summer 2026 at Disney. Discipline: Engineering. Experience level: Intern. Employment type: Internship. Location: Burbank, CA, USA. Relevant tags: Engineering. Source: workday. Apply at https://disney.wd5.myworkdayjobs.com/job/Burbank-CA-USA/AI-Automation-Intern--Burbank--Summer-2026_10143397-1

Senior Product Manager-Licensing/AI (Project Hire) at Disney. Discipline: Production. Experience level: Manager. Employment type: Full Time. Location: 2 Locations. Relevant tags: Production. Source: workday. Apply at https://disney.wd5.myworkdayjobs.com/job/Glendale-CA-USA/Senior-Product-Manager-Licensing-AI--Project-Hire-_10131938-2

Software Engineering Intern, AI, Summer 2026 at Disney. Discipline: Engineering. Experience level: Intern. Employment type: Internship. Location: Seattle, WA, USA. Relevant tags: Engineering. Source: workday. Apply at https://disney.wd5.myworkdayjobs.com/job/Seattle-WA-USA/Software-Engineering-Intern--AI--Summer-2026_10143621-1