Disney

Senior Data Scientist role focused on designing, developing, and deploying advanced NLP, multimodal ML, and LLM solutions for content understanding use cases across Disney+, Hulu, and ESPN+. Responsibilities include building and adapting models for classification, similarity, retrieval, and enrichment, fine-tuning foundation models, and optimizing training/inference workflows. Requires strong Python, deep learning framework experience, and production ML systems knowledge.

This role focuses on building, deploying, and operating machine learning models for self-healing infrastructure management systems. It involves designing, training, and deploying models for anomaly detection, forecasting, and predictive analytics, as well as building near-real-time inference pipelines and closed-loop, event-driven systems that trigger automated remediation actions. The role owns the full ML lifecycle and integrates AI/ML-driven insights into operational tools and workflows.

Lead Data Scientist for Disney's Ad Research team, focusing on advancing AI/ML capabilities in ad platforms. The role involves spearheading ML initiatives for ad decisioning, forecasting, and user experience, with a significant focus on developing evaluation pipelines for generative AI (image, video, LLM-based agents) and supporting generative AI production development through data generation and evaluation.

Senior Machine Learning Engineer focused on generative AI (mixed media, video, LLMs, agentic applications) and traditional ML for Disney's Ad Platforms. Responsibilities include developing, optimizing, and productionizing these technologies, creating ML datasets, evaluating quality, and mentoring junior engineers. The role emphasizes innovation in advertising domains like forecasting, pricing, and targeting.

Lead Machine Learning Engineer focused on generative AI (mixed media, video, audio, LLMs, agentic workflows) and traditional ML for ad platforms. Responsibilities include developing, optimizing, and productionizing these technologies, driving innovation, and building scalable ML systems. The role also involves mentoring junior engineers and working across various advertising domains like forecasting, pricing, and targeting.

Internship at Disney Research Studio in Zurich focusing on research, development, and implementation of concepts, modules, or capabilities in image, video, geometry, or motion processing. Collaboration with engineers and researchers, and communication of project results are key responsibilities. Requires a Bachelor's degree in computer science and a proven track record of achieving significant results, with preferred experience in machine learning, computer vision, or related fields.

This role focuses on reengineering processes for AI-first environments, applying Lean Six Sigma methodologies, and driving measurable improvements in performance and customer outcomes. The Senior Analyst will architect AI-first process reengineering strategies, integrate cutting-edge technologies like Microsoft Copilot, develop AI agents to improve process and systems flow, and apply foundation models based on generative AI. The role also involves championing Lean Six Sigma, driving improvements in software/hardware lifecycle, and leading cross-functional initiatives.

This role focuses on developing and deploying machine learning models and data products for direct channel marketing optimization within Disney Experiences. The analyst will translate business needs into data requirements, build data pipelines, conduct end-to-end analysis, design experiments, and create visualizations to drive marketing strategy and decision-making. The role emphasizes translating insights for stakeholders and mentoring on best practices, including responsible AI.

Lead Software Engineer for Disney Entertainment and ESPN Product & Technology, focusing on building and operating content inspection pipelines. The role involves leading the development of systems that use computer vision and VLMs to analyze media assets, extracting temporal metadata for automated inspection, validation, and enrichment. This will improve content quality, operational efficiency, and media discovery across Disney's global content ecosystem. The engineer will influence architectural direction, collaborate with teams, and ensure system reliability and scalability.

Senior Engineering Manager to lead a software engineering team building and supporting ML-assisted content inspection pipelines within Disney's Content Platform Engineering organization. The role involves leading engineers in designing, implementing, and operating production systems that integrate LLMs and computer vision techniques for content automation, while also remaining involved in system design and architectural decisions. The manager will contribute to technical strategy, foster team development, and ensure alignment with product goals.

Lead Machine Learning Engineer for Disney's Ad Platform Engineering, focusing on designing, building, and operating production ML systems for advertising use cases like inventory forecasting, pricing, targeting, and ad delivery. The role involves technical leadership, mentoring engineers, and ensuring ML solutions are reliable, performant, and cost-efficient in a low-latency, high-throughput environment.

Senior Machine Learning Engineer for Disney Entertainment and ESPN Ad Platforms. This role focuses on designing, building, and operating production ML systems for advertising use cases like inventory forecasting, pricing, targeting, and ad delivery. The position requires hands-on experience with the full ML model lifecycle in low-latency, high-throughput environments at a massive scale, with a strong emphasis on production outcomes and system reliability.

Senior Machine Learning Engineer focused on building and operating ML systems for personalized news content delivery across various platforms. The role involves designing and developing infrastructure for the full ML lifecycle, including data pipelines, feature engineering, training, and low-latency online serving. Key responsibilities include driving ML-driven solutions for recommendation systems, RAG, and autogenerated tagging, and ensuring scalable, impactful solutions.

Seeking a Production Innovation Technologist with expertise in advanced 3D compositing and generative technologies. This role involves designing, training, and fine-tuning models (e.g., LoRA, IP adapters, Gaussian Splatting) to solve production-scale challenges, evaluating new ML approaches, and integrating these into existing pipelines. The technologist will act as a senior technical authority, translating creative objectives into production-ready solutions and collaborating with ML Engineers to bridge research and production.

Senior Software Engineer role focused on developing and deploying custom AI solutions using LLMs to automate business processes and improve business outcomes within the Disney Consumer Products - Licensing Technology organization. The role involves designing, configuring, and deploying models, integrating systems, and building web solutions, with a strong emphasis on Java, Python, and cloud technologies.

Principal Software Engineer to conduct multidisciplinary research and development in video streaming for live and on-demand use cases, focusing on optimizing media processing, developing quality and performance assessment frameworks, and conducting innovative media R&D. The role involves applying advanced computer vision algorithms and ML/AI techniques to media enhancement, understanding, analysis, and compression, influencing codebases, driving technical standards, and leading complex projects.

Senior Manager, Machine Learning Engineering to lead a team building and operating production ML systems for cross-media measurement, identity resolution, and audience development. Requires deep applied ML and ML engineering expertise, robust MLOps, and ownership of data pipelines for large-scale data. Must enforce privacy and governance.

Senior Machine Learning Engineer responsible for the end-to-end development, deployment, and monitoring of machine learning solutions for audience identity, look-alike modeling, and cross-platform measurement. This role involves building scalable ML pipelines, feature engineering, MLOps, and collaborating with stakeholders to improve analytics and product features. Requires strong Python/SQL skills, production experience with deep learning/GenAI/RAG systems, and cloud-native data platforms.

Lead Machine Learning Engineer responsible for technical leadership of complex ML systems and data foundations. Builds predictive systems at scale for identity, audience, and cross-platform measurement using deep learning, genAI, or RAG. Architects scalable ML platforms, MLOps, and data foundations, ensuring privacy and compliance.

Senior Machine Learning Engineer focused on personalization and recommendation algorithms for Disney Streaming's products (Disney+, Hulu). Responsibilities include algorithm development, feature engineering, pipeline maintenance, and collaborating with product and data teams. Requires strong Python, SQL, and ML experience, with a focus on production deployment.

Staff Data Engineer focused on building and optimizing data pipelines for audio/ML research, specifically for training, retraining, and evaluating machine learning models in immersive and multichannel audio applications.

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. Apply machine learning and AI techniques to optimize licensing workflows, forecasting, and compliance monitoring.

Senior Software Engineer with a focus on Machine Learning to join the Content Platforms Engineering team. The role involves building and enhancing platform capabilities, with an emphasis on computer vision and ML workflows for Disney's media supply chain. Responsibilities include designing and building AI-powered solutions, optimizing LLMs, and integrating ML models into production systems. Experience with coding agents is also mentioned.

Principal Site Reliability Engineer responsible for leading and impacting SRE culture, advocating for service level management, and designing/building/supporting products and platforms. This role will lead the adoption of AI/LLM-assisted reliability engineering, architecting and operating AI-enabled capabilities, and optimizing system reliability through advanced analytics. The role requires expertise in evaluating GPT model families, engineering RAG systems, and automating infrastructure and operations.

Lead Data Scientist role focused on developing and deploying AI/ML techniques to understand media content. The role involves conceptualizing and co-developing AI/ML solutions, prompt engineering, evaluation of VLM outputs, developing evaluation metrics for temporal tasks, bridging experimentation and production, establishing best practices for generative and non-generative AI/ML, and experimenting with techniques like PEFT, Quantization, and Vector embeddings for media retrieval. It requires proficiency in Python, deep learning frameworks, LLM prompting and fine-tuning, and cloud platforms.

Senior AI Engineer to build AI core capabilities and tooling that accelerate teams across Ad Technology. This role blends backend engineering, LLM orchestration, and developer enablement, focusing on creating shared agents, initializers, registries, and reusable services and web applications to make AI adoption fast, safe, and cost-effective. The work emphasizes common design principles, guardrails, governance, observability, and evaluation to enable teams to deliver high-quality AI solutions quickly.

Senior Software Engineer to design, build, and maintain internal applications and integrations for cybersecurity operations, focusing on automating compliance, improving risk visibility, and accelerating security workflows using IaC and AI-driven modeling. Will collaborate with compliance teams to translate audit requirements into code and contribute to data ingestion and analytics pipelines. Develops AI/ML models for automated risk categorization, configuration detection, or control validation.

Internship at Disney Research in Zurich focusing on research, development, and implementation of concepts in image, video, geometry, or motion processing. Requires a Bachelor's degree and a proven track record of results, with preferred experience in machine learning, computer vision, and related fields.

Data Scientist role focused on commercial strategy, specifically optimizing pricing and revenue management for merchandise and food & beverage. Responsibilities include data wrangling, developing analytical models, translating insights, and pursuing innovation in data engineering and analytical solutions. Requires knowledge of data science concepts, programming languages (R/Python), SQL, relational databases, and industry-leading analytic tools. Familiarity with microeconomics and AWS infrastructure is also mentioned.

Lead Product Manager for Data & AI Integration within the Technology Vendor Management Office (VMO) at Disney. This role focuses on owning the strategy, roadmap, and execution of data and AI capabilities to optimize vendor management, enhance cost transparency, and support operational decision-making. The role involves translating business needs into product features, defining data requirements, and supporting the delivery of AI-assisted capabilities like forecasting and anomaly detection within established platforms.

Staff Software Engineer focused on emerging tech and AI automation within Disney's Enterprise Technology group. The role involves leading rapid prototyping, building proofs-of-concept, and exploring AI-assisted development tools and new technologies to drive enterprise-wide transformation and productivity improvements. Requires strong full-stack engineering skills, cloud platform experience, and proficiency with LLM APIs and AI agents.

The Associate Data Analyst will analyze data from computer vision platforms to identify trends, review detection outputs (false positives/negatives), and support operational improvements for safety and efficiency across Disney Parks. This role involves monitoring data pipelines, supporting systems, reporting findings, and validating changes after tuning updates, acting as a bridge between technical teams and project leadership.

This role analyzes data from computer vision platforms to improve operational efficiency and safety. It involves evaluating data pipelines, understanding system accuracy (false positives/negatives), translating complex metrics into actionable insights, and building predictive indicators. The role supports the end-to-end data pipeline, collaborates with engineering and data science teams, and communicates findings to leadership.

Lead Product Manager for an AI Assistant chatbot, focusing on defining and executing the AI-driven digital product strategy, collaborating with cross-functional teams, and ensuring a trusted, intuitive AI experience for employees. The role involves product strategy, stakeholder management, market research, product development, performance monitoring, team leadership, and go-to-market strategy, with a strong emphasis on integrating AI into product development.

Senior Product Manager for Disney Store eCommerce, focusing on leading the delivery of features, shaping product vision, and leveraging AI/ML to enhance guest interactions. Requires strong product management experience, technical knowledge, and familiarity with Agile/Scrum, OKRs, AI/ML Ops, and eCommerce.

Lead Product Manager for Disney Experiences Technology, focusing on digital products for co-branded credit card programs. Responsibilities include shaping strategy, gathering requirements, defining success metrics, building relationships, delivering releases, identifying risks, communicating product value, conducting market research, and mentoring junior team members. Requires 7+ years of product management experience, proficiency in Agile, and demonstrated success in launching and scaling products. Experience using AI tools to accelerate product processes is required.

Software Engineer II role focused on observability tooling, data, and integrations within Disney Entertainment & ESPN. The role involves building and improving components for collecting, analyzing, and acting on critical system data, with an encouragement to leverage modern AI tools for development workflows and productivity.

Principal Product Designer for Disney's streaming services (Disney+, Hulu, ESPN+), focusing on the advertising platform. This role involves shaping strategy and design vision for campaign planning, creative review, and interactive ad formats, while also mentoring other designers and improving design processes. The role leverages AI for efficiency and aims to deliver high-utility, high-craft user experiences that impact the bottom line.

This role focuses on leveraging advanced data science techniques, including machine learning, statistical analysis, and forecasting, to optimize workforce strategy within Walt Disney World. The analyst will be responsible for data architecture, manipulation, advanced analytics, and visualization to drive strategic decisions and improve labor strategies. While the role uses AI/ML tools and techniques, it is not focused on building core AI models or systems as a primary deliverable.

Senior Core Systems Engineer at Disney Digital Entertainment, focused on building and optimizing Unreal Engine and UEFN for game development. The role involves C++, Verse, and Python programming, core systems contribution, tools and pipeline development, and leveraging AI coding tools to improve workflows. Requires significant experience with C++ and Unreal Engine, a team-oriented mindset, and strong communication skills.

Lead User Experience Designer for Disney Experiences Technology, focusing on creating digital and physical Guest experiences across various business lines. The role involves driving content design strategy, collaborating with cross-functional teams, and designing for web, mobile, and emerging platforms. Experience with AI-enabled services and design tools is mentioned.

This role supports the architecture, optimization, and governance of National Geographic’s consumer data platforms, focusing on data pipelines, behavioral segments, and operationalizing ML outputs for marketing and personalization. It involves translating business needs into technical solutions and ensuring data accuracy and scalability.

Senior Full Stack Software Engineer for Disney's Payments and Accounting Technology team. This role involves designing, developing, and maintaining full-stack applications (Java/Spring backend, Angular/Node.js frontend) for payment processing, fraud detection, and accounting systems. The engineer will also leverage AI-assisted development practices and explore opportunities for AI/ML integration in fraud detection and payment optimization. Experience with AWS, Docker, and PCI-DSS compliance is required.

Manager for Decision Science Products at Disney, responsible for the end-to-end product lifecycle of new decision science products, including strategy, roadmap definition, cross-functional team leadership, and launch. The role involves translating complex analytical concepts into user-friendly business capabilities and establishing product development practices. Familiarity with statistical/ML concepts, forecasting, optimization, and data visualization is required, with preferred experience in agentic AI products.

This Principal Software Engineer role focuses on architecting and developing enterprise-level application and integration solutions, with a specific emphasis on MuleSoft and Generative AI. The role involves leading projects, defining system requirements, influencing design direction, and estimating/planning complex projects. The engineer will also research and implement industry trends, set technical standards, and provide architectural guidance for critical software solutions, ensuring high performance and reliability.

The Senior Product Manager II, Loyalty & Retention role at Disney focuses on reducing voluntary churn and increasing subscriber lifetime value for Disney+. The role involves defining and building loyalty-driven experiences, designing and launching A/B tests for loyalty mechanics, and collaborating with data science, engineering, and marketing teams to drive retention and engagement. The ideal candidate has experience in consumer tech, subscription, or related platforms, with a strong focus on retention, loyalty, growth, and experimentation.

Manager of Product Management at Disney Experiences Technology, leading the strategic vision and roadmap for Contact Center (Sales & Service) and Site-Specific application portfolios. The role involves integrating Generative AI into the Guest and Cast experience and using AI-driven tools to improve internal product definition and delivery workflows. The manager will lead a team of 5-6 Product Managers.

This role is for a Sr. Manager of Market & Consumer Insights for Disney Games. The primary focus is on leading market and consumer insights initiatives, partnering with business leaders to inform strategy, and synthesizing data into actionable deliverables. A secondary focus includes building and improving automated data solutions and leveraging AI/technology to enhance insights and efficiency. The role also involves managing vendor relationships and budgets, and influencing cross-functional teams.