107 jobs found

This role will be on-site at least 4 days per week for teamwork and collaboration! Department 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. The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. The Global Information Security (GIS) organization strives to secure the magic by employing best-in-class services to assess, prevent, detect, and respond to cyber threats that present risk to The Walt Disney Company. We enable the business by integrating enterprise and business segment-specific supported services to create a robust, efficient, and adaptable cybersecurity program. Our key objectives are to: Secure the Magic by protecting information systems and platforms. Reduce Risk by proactively assessing, preventing, and detecting to prevent harm to the Company and our Guests. Strengthen the business through optimizing execution, application, and technology used to protect the Company. Innovate by investing in core capabilities to enhance operational efficiency. Team Description: The Global Information Security (GIS) Data Strategy and Engineering team acquires, enriches, and shares high fidelity, actionable security data within GIS and throughout the enterprise with the goal of improving the The Walt Disney Company (TWDC) security posture to ensure a secure environment for guests to interact with TWDC products and services. What You'll Do: We need to add a Senior Data Engineer to our Team! You will Lead the design, development, deployment, and operational ownership of scalable data pipelines and data warehouse solutions in a cloud environment, ensuring reliability, performance, and maintainability. Architect and evolve the data platform to support scalability, resiliency, and robust data validation frameworks, enabling high-quality, trusted data across the organization. Drive engineering excellence by establishing and enforcing best practices, including system design patterns, code quality standards, peer reviews, and comprehensive automated testing strategies. Design, implement, and manage cloud infrastructure using Infrastructure as Code (IaC) and DevOps best practices, enabling repeatable, secure, and scalable provisioning of data platform resources and supporting CI/CD automation for data workflows. Partner cross-functionally with product management, technical program management, operations, and engineering teams to align on priorities, translate business needs into technical solutions, and deliver data capabilities that support strategic initiatives. Required Qualifications & Skills: 5+ years of related experience in Cloud development crafting and implementing solutions using AWS services, with an understanding of core services: IAM, S3, ECS, Lambda Strong programming skills in Python and other object-oriented languages, including libraries such as boto3 and pydantic Experience designing and operating scalable, production-grade data pipelines (batch and/or streaming), including orchestration, monitoring, and failure recovery. Experience designing data models that support reporting, analytics, and downstream data products. Experience using source control systems (GitLab, GitHub) and CI/CD pipelines Experience building, maintaining and using container technologies, such as Docker, Kubernetes, AWS Fargate Experience working with IAC, such as Terraform, CloudFormation, AWS CDK Experience in SQL (Postgres, Snowflake, etc.) and understanding of trade-offs between different data storage systems and architectures (data warehouses, SQL vs NoSQL, partitioning, etc.) Experience with scripting using BASH, or SHELL Preferred Qualifications: Experience creating orchestration patterns and infrastructure using Apache Airflow, or other orchestration tools Experience using Queuing tech, such as SQS, RabbitMQ, Kafka, Kinesis Experience with security protocols or related data Experience with modern security tooling and DevSecOps in cybersecurity Experience with AGILE/Scrum practices Required Education: Bachelor's degree in Computer Science, Information Technology, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience . The hiring range for this position in Orlando, FL is $135,200 - $181,200, in Seattle, WA is $148,700 - $199,400 and in Burbank, 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.

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 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.

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. 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.

This role will be on-site at least 4 days per week for teamwork and collaboration! Department 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. The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. The Global Information Security (GIS) organization strives to secure the magic by employing best-in-class services to assess, prevent, detect, and respond to cyber threats that present risk to The Walt Disney Company. We enable the business by integrating enterprise and business segment-specific supported services to create a robust, efficient, and adaptable cybersecurity program. Our key objectives are to: Secure the Magic by protecting information systems and platforms. Reduce Risk by proactively assessing, preventing, and detecting to prevent harm to the Company and our Guests. Strengthen the business through optimizing execution, application, and technology used to protect the Company. Innovate by investing in core capabilities to enhance operational efficiency. Team Description: The Global Information Security (GIS) Data Strategy and Engineering team acquires, enriches, and shares high fidelity, actionable security data within GIS and throughout the enterprise with the goal of improving the The Walt Disney Company (TWDC) security posture to ensure a secure environment for guests to interact with TWDC products and services. What You'll Do: We need to add a Senior Data Engineer to our Team! You will Lead the design, development, deployment, and operational ownership of scalable data pipelines and data warehouse solutions in a cloud environment, ensuring reliability, performance, and maintainability. Architect and evolve the data platform to support scalability, resiliency, and robust data validation frameworks, enabling high-quality, trusted data across the organization. Drive engineering excellence by establishing and enforcing best practices, including system design patterns, code quality standards, peer reviews, and comprehensive automated testing strategies. Design, implement, and manage cloud infrastructure using Infrastructure as Code (IaC) and DevOps best practices, enabling repeatable, secure, and scalable provisioning of data platform resources and supporting CI/CD automation for data workflows. Partner cross-functionally with product management, technical program management, operations, and engineering teams to align on priorities, translate business needs into technical solutions, and deliver data capabilities that support strategic initiatives. Required Qualifications & Skills: 5+ years of related experience in Cloud development crafting and implementing solutions using AWS services, with an understanding of core services: IAM, S3, ECS, Lambda Strong programming skills in Python and other object-oriented languages, including libraries such as boto3 and pydantic Experience designing and operating scalable, production-grade data pipelines (batch and/or streaming), including orchestration, monitoring, and failure recovery. Experience designing data models that support reporting, analytics, and downstream data products. Experience using source control systems (GitLab, GitHub) and CI/CD pipelines Experience building, maintaining and using container technologies, such as Docker, Kubernetes, AWS Fargate Experience working with IAC, such as Terraform, CloudFormation, AWS CDK Experience in SQL (Postgres, Snowflake, etc.) and understanding of trade-offs between different data storage systems and architectures (data warehouses, SQL vs NoSQL, partitioning, etc.) Experience with scripting using BASH, or SHELL Preferred Qualifications: Experience creating orchestration patterns and infrastructure using Apache Airflow, or other orchestration tools Experience using Queuing tech, such as SQS, RabbitMQ, Kafka, Kinesis Experience with security protocols or related data Experience with modern security tooling and DevSecOps in cybersecurity Experience with AGILE/Scrum practices Required Education: Bachelor's degree in Computer Science, Information Technology, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience . The hiring range for this position in Orlando, FL is $135,200 - $181,200, in Seattle, WA is $148,700 - $199,400 and in Burbank, 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.

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. Content Platforms & Operations is responsible for the development and ongoing advancement of the technical and operational functions driving the worldwide distribution and monetization of Disney's linear networks and theatrical content. This includes Disney's media supply chain and storage, network and theatrical distribution operations, media localization, network transmission and origination, and more. The global team also plays a critical role as the primary collaboration point for Product & Technology with Disney's EMEA, APAC, and LATAM regional business teams. Disney Media Engineers have a clear charter: to transform the capability and flexibility of how Disney acquires, produces, and distributes content worldwide, all while ensuring the highest levels of quality, efficiency, and resiliency. Disney Media Engineers often find themselves at the crossroads between hardware and software-based technology and must possess a comprehensive theoretical and practical understanding of the technology that powers the generation, monetization, and distribution of all forms of consumer- facing linear and digital video/audio content. Responsibility includes numerous systems such as Playout Technology, Studios, Production Control Rooms, Remote Production, Post-Production, Contribution/Distribution Systems, Networking, Cloud Compute, Production Software and Virtual Environment and more. The Media Systems Engineer II position is another step toward technical proficiency. The Media Systems Engineer II primarily focuses on architecting, designing, and constructing the varied technical platforms that power our linear and digital platforms. The Media Systems Engineer II position will work closely under the direction of more senior engineers and 3rd party partners to develop technology that efficiently and effectively delivers on the requirements set forth by technical, business or operations leaders. Responsibilities and Duties of the Role: Architect, design, source, and construct media technology environments that allow DEEP&T Technology the ability to acquire, produce, store, stream, distribute our content. Resolve issues that affect production, broadcast, and content distribution across multiple DEEP&T networks including system outages, malfunctions, and related technical problems, and conduct diagnostic testing, repair, and replacement activities necessary to solve routine, specialized, and complex problems. Analyze and troubleshoot streaming audio/video signals in traditional SDI and IP 2110 essence flow routing environments. Analyze and troubleshoot cloud platforms as necessary. Manage third-party service providers by enforcing the agreed upon scope of services within the various signed service agreements (i.e., full time, freelance, union agencies, maintenance providers, contractors, service providers, etc.). Select, train, motivate and evaluate technical staff; provide or coordinate staff training; work with employees to correct deficiencies; implement discipline procedures. Specify and procure equipment, supplies and materials for Media technology systems within budget guidelines; receive and maintain equipment and supplies. Develop long range plans for future media technology needs, including capital improvements, to enhance production and distribution capabilities. Assist in the development and implementation of policies and procedures regarding technology facilities with a focus on maximizing the integration of all systems to meet business, marketing, and entertainment goals. Provide operational support of all activities related to operating, maintaining, and programming the audio and video production/distribution systems across the enterprise and other connected properties. Utilize system software health and performance monitoring platforms; troubleshoot and participate in repairing system problems and failures, participates in maintenance of systems, installs software patches, updates etc., to resolve and avoid service problems, and troubleshoots system problems as they relate to these services Performs upgrades to system hardware and software workflows under the supervision of a more experienced engineer or supervisor. Participates in complex engineering projects at the direction of more experienced engineers. Reviews, maintains, and contributes to system/workflow documentation. Participates in training and development objectives. Conducts peer training and development sessions. Extraordinary influencer who is skilled at connecting the dots at the organization, strategy, program, project, and event levels. Able to persuade and change the thinking of others without damaging relationships. Comfortable working in a fast-paced, growth environment with minimal direction, delivering under tight deadlines while multitasking, prioritizing projects, and communicating priority updates to team members. Able to operate with limited resources, exhibit dispassionate critical-thinking, and creatively solve problems. Motivated and inventive, always finds a way forward-eternal optimist with a committed drive for contributing and making a difference. Any other duties needed to help achieve Business Objectives Minimum Qualifications: 3 years of demonstrated and relevant experience in leading others ensuring efficient design/build, uptime, and overall stability of the technical environments of live media production and distribution. Bachelor's Degree in electrical engineering, computer science or equivalent major, and/or equivalent work experience. Scripting proficiency will be an advantage (Python, NodeJS, Bash, PowerShell) Knowledge and experience with integrating, implementing, or refreshing broadcast control room equipment, including familiarity with modern broadcast cabling infrastructure used in broadcast environments. Proficient in SMPTE standards for broadcast television and video production/streaming environments with a current certification such as not limited to ST 292M, ST 424M, ST 2110, ST 2059, IEE1588, ST 2022-7, SCTE-104, etc. Knowledge and experience with on-prem and cloud-based storage and compute infrastructure platforms and current technological offerings. At least one foundational cloud certification required, including but not limited to Microsoft Certified: Microsoft Azure Fundamentals, CompTIA Cloud+, AWS Certified Solutions Architect - Associate. Knowledge and experience with compression techniques such as MPEG2/4, HEVC, JPEG 2000, and JPEG XS. Knowledge and experience with Evertz software control systems such as frame control via VistaLink or Magnum, EQX/EXE routers, and their monitoring software VLPRO, SDVN, VIP, VUE, MVP. Knowledge and experience with major media systems and the vendors that supply them in areas such as asset management systems, file-based workflows, media acquisition, transcoding/encoding, graphics, and NAS/SAN technologies Knowledge and experience with Nielsen (NACAT), VANC equipment, Linear Acoustics, and other related systems. Knowledge and experience with coordinated receiver decoders IRDs, core devices, edge devices, timing of video and audio systems, audio and video media file formats are a plus. Ability to create, read and interpret AutoCAD and other technical drawing/documentation tools. Proficiency in at least one of the following languages: Perl, Python, Ruby, Shell, C or C++. Advanced track record for designing and building IP-based broadcast equipment including one or more of the following: Routers, switchers, audio boards, signal processers, encoder/decoder, video scalers, playback systems, etc. Studio Technology, video walls, cameras, VR set technology, image processing systems, touch screens, lighting, etc. File-based workflows like enterprise Media Asset Management systems (Cloud-based Cloud Compute or Local Network-based) including storage, compute, encode and distribution. Production control systems such as Imagine Communications or Grass Valley automation systems, Riedel trunking, Lawo, Calrec, Evertz . click apply for full job details

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 engineering, and the engineering behind personalization, commerce, lifecycle, and identity. Job Summary: The DEEP & Technology team is seeking a visionary Principal Software Development Engineer in Test (SDET) to spearhead quality engineering across our streaming, data and advertising systems. As a trusted engineering leader and technical authority, you will set the strategic direction for automation, quality practices, and test architectures organization-wide. You will partner cross-functionally to align quality strategy with company objectives, lead innovation in automated testing processes, and ensure our systems robustly deliver relevant and reliable products to all viewers. Your decisions and leadership will have a substantial impact on revenue, user experience, and operational efficiency. Ideal candidates are highly proactive, influential, and passionate about transforming quality engineering through cutting-edge technology and thought leadership. Responsibilities: Strategic Quality Leadership Define and drive the vision, strategy, and roadmap for test automation and quality engineering across multiple business units and product lines. Influence organizational decisions regarding test architecture, process improvements, and adoption of modern testing paradigms (shift-left, CI/CD, observability, etc.). Establish and maintain enterprise-wide standards for quality, automation, and operational excellence in collaboration with executive stakeholders. Own the end-to-end quality strategy for large-scale, business-critical projects, including test metrics, release criteria, and automation objectives. Architecture & Technical Authority Lead the architecture of scalable, resilient, and cloud-native test automation solutions that empower teams and improve defect prevention. Make high-impact technical decisions on frameworks, toolsets, and integrations to enable richer and more effective testing. Oversee technical reviews, mentorship, and hands-on guidance in complex areas such as distributed systems, data pipelines, and ad technologies. Partner with Platform Architects and DevOps to ensure seamless integration of quality gates and automated validation throughout deployment pipelines Cross-Functional Influence & Mentorship Serve as a coaching resource to SDETs, engineers, and leadership, regularly conducting technical deep-dives, training, and knowledge-sharing sessions. Build consensus across product teams for standardization of test tools, frameworks, and reusable components. Facilitate root cause analysis for high-severity incidents, drive preventative and corrective actions, and communicate technical findings to senior leadership. Represent DEEP & Technology quality interests within company-wide engineering and business forums. Program Management & Delivery Excellence Lead delivery of multiple concurrent, cross-team testing initiatives in fast-paced Agile environments. Manage test budgets, resource allocation, roadmap goals, and risk mitigation strategies across programs. Ensure rigorous governance over traceability, compliance, and test reporting, supporting company-wide accountability. Continuously identify bottlenecks and drive organization-wide solutions to improve efficiency, coverage, and reliability. Innovation & Continuous Improvement Champion research and adoption of emerging technologies (AI/ML in testing, autonomous testing, advanced observability, etc.) to keep test practices ahead of industry standards. Define and track advanced quality metrics (escape rates, flakiness, system reliability), implementing data-driven improvements. Lead efforts to mature organization's quality posture in performance, security, and reliability engineering. Inspire a culture of innovation, experiment with new tools and practices, and help set the direction for the future of engineering quality. Minimum Qualifications: Minimum of 10 years experience in quality engineering, automation, or software development, with recent leadership responsibilities in large, complex engineering environments Passion around driving best practices in the testing space Knowledge of software engineering practices and agile approaches Strong desire for establishing and improving product quality Proven expertise architecting and scaling test automation for distributed, cloud-native systems Track record of influencing enterprise strategy and leading transformation initiatives Advanced proficiency with Python or modern OO languages; experience with ad-tech or large-scale systems is a plus Willingness to take challenges head on while being part of a team Strong communication, stakeholder management, and mentoring skills Bachelor's degree, preferably in Computer Science or related field (or equivalent work experience) The hiring range for this position in California is $171,600 - $230,100 per year and in New York is $179,700 - $241,000 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

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 The hiring range for this position in New York City, NY 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.

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: As a Senior Software Engineer on the Build Tooling Software team within Disney Entertainment & ESPN Technology (DEET), you'll develop and support mission-critical infrastructure, custom tools, and shared libraries that allow application teams to quickly and dependably deliver software to their customers. We're responsible for making sure 1000s of engineers and 100s of teams can get their software into production quickly, reliably and safely. We're looking for an engineer with over 8 years hands-on experience in software development with an understanding of CI/CD processes and tools and a desire to learn more. Responsibilities: Work with a team of engineers building software in a collaborative software development process to achieve the teams' goals Build and maintain software to abstract build, release, and deploy events for use by dozens of development organizations Understand the needs of the 1000s of developers that use our software and actively and measurably improve their experience Work directly with app development teams to determine needs and implement CI/CD best practices Lead the development of critical features ensuring they meet user needs and fit for purpose Support critical build and artifact storage systems for the entire organization Participate in the on-call rotation, supporting systems and services during production incidents Qualifications: Minimum of 5 years relevant professional experience Proficiency in at least one modern programming language, such as Python, Java, C++, C, C#, etc. Familiarity with scripting in Bash / Powershell Understanding of a modern collaborative SDLC and experience with a variety of workflows, processes and techniques, i.e.: Scrum, Kanban, GitOps, Monorepos, Micro Services, Feature Flagging, etc Experience working with version-controlled environments and CI/CD workflows. Proficiency in setting up and maintaining pipelines with at least one of: GitLab CI GitHub Actions TeamCity Jenkins Argo SonarQube (for code quality and scanning) In-depth knowledge of Linux: File systems, user and group management, process control, permission schemes. SSH key management and secure shell operations. Cloud Platforms: Hands-on experience with AWS core services i.e. EC2, S3, IAM, VPC, CloudWatch, etc. Understanding of the wider AWS ecosystem and knowledge of other cloud providers desirable Containers & Orchestration: Docker: Experience building, running, and debugging containerized applications. Kubernetes and Helm: Operational knowledge of deploying workloads via manifests or Helm charts. Infrastructure as Code (IaC) Experience provisioning and managing infrastructure using through code and configuration using tools like Terraform, CloudFormation, etc Familiarity with AI tooling within the software development lifecycle and how to effectively integrate and utilize these tools to enhance development processes Ability to effectively collaborate with remote team members Excellent written and verbal communication skills BA/BS degree in Computer Science or equivalent technical experience The hiring range for this position in Santa Monica, California is $141,900 to $190,300 per year and in New York, NY 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.

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. The Data Product team is seeking a Senior Product Manager II to drive measurement strategy and analytics instrumentation across ESPN's portfolio of digital products. The team sits at the intersection of the analytics and business teams who depend on trusted data and the engineering teams who build the systems that produce it - and this role is where those worlds meet. You'll own instrumentation outcomes across ESPN digital products driving measurement strategy, schema design, and end-to-end delivery across web, mobile, and connected TV. The scope runs the full lifecycle: from defining what gets measured and why, through implementation and validation support, to ensuring downstream teams have the reliable, well-documented data they can build on. Own data collection outcomes for ESPN's digital products - accountable for completeness, accuracy, and usability across your instrumentation domain. Define what gets measured, why it matters, and how behavioral signals and event schemas serve analytics, reporting, and experimentation needs. Convert stakeholder questions into precise instrumentation specs - events, parameters, identifiers, schemas - that engineers can implement without ambiguity across platforms. Drive instrumentation from discovery through launch, orchestrating delivery across Product Engineering, Analytics Engineering, QA, and Platform partners. Work directly with engineering to ensure instrumentation is implemented correctly and meets platform standards - the bridge between measurement intent and technical reality. Configure and operate the analytics platform stack hands-on: implementation, maintenance, and optimization to support reliable, self-service analysis. Proactively identify instrumentation gaps and drive resolution through sharper specs, stronger validation, and tight coordination with engineering and QA. Use data to audit tagging and tracking health, surface improvement opportunities, and shape future measurement decisions. Mentor peer PMs and share instrumentation expertise across the team. You bring deep technical fluency in data collection and instrumentation, strong judgment about what measurement actually matters, and the communication skills to align engineers, analysts, and business leaders. You hold yourself to a standard of data quality that makes the difference between insights organizations trust and data they work around. Basic Qualifications 7 years or more in analytics instrumentation, data product management, or analytics engineering - with a track record of owning outcomes, not just executing tasks Deep hands-on experience designing event-based data models and instrumentation schemas across web, mobile, and connected TV - including event taxonomies, parameter design, identifier strategies, and implementable data contracts Ability to translate ambiguous business questions into precise instrumentation specifications - closing the gap between what stakeholders need to know and what engineers build SQL fluency and hands-on experience in cloud data platforms (Snowflake, Databricks, BigQuery , or equivalent) to validate data quality, investigate anomalies, and own your analysis Experience configuring and operating enterprise analytics platforms at scale - owning implementation, validation, and maintenance, not just strategy Proven ability to orchestrate cross-functional instrumentation delivery across Product Engineering, Analytics, QA, and platform partners A bias for action and an ownership mindset: you solve problems end-to-end and are equally comfortable debugging a data issue and presenting measurement strategy to senior leadership You use AI-enabled tools as a genuine force multiplier - this is how you work, not a skill you're developing Clear, crisp communication: precise technical specs, accessible explanations of instrumentation tradeoffs for non-technical stakeholders, and the ability to influence across engineering, product and analytics Preferred Qualifications Experience with sports, media, or direct-to-consumer digital products at scale Hands-on experience implementing solutions from Adobe's Customer Experience (CX) Analytics suite - Adobe Analytics, Customer Journey Analytics, or Adobe Experience Platform - at enterprise scale Expert understanding of media industry measurement solutions (Nielsen, Comscore ) and how they're implemented and integrated within a major media organization Familiarity with event-driven architectures or streaming data infrastructure and their connection to downstream analytics Experience enabling self-service analytics at scale through standardized metrics frameworks, reporting taxonomies, or dashboarding solutions Working knowledge of data governance, privacy, and consent frameworks (GDPR, CCPA) and their practical implications for instrumentation design Required Education Bachelor's degree in computer science, Engineering, Business, Analytics, or related field, or equivalent practical experience. The hiring range for this position in Bristol, CT is $155,700 - $208,700 and New York City, NY is $163,100 - $218,700 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.

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 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.

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. 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.

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. 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: As a Software Engineer, you will use your deep Salesforce CRM Analytics, scripting, DevOps, and data persistence skills to write and test code that delivers new features for our application portfolio. You will be an important part of a motivated team where we'll be looking for you to be a key contributor to collaborate on application architecture, code quality, and make sure we are building the right things for our users. We want someone that has grown up through the software development ranks - possessing 3 or more years' experience in designing and architecting highly scalable, secure, performant, and usable web applications using Salesforce and CRM Analytics. The ideal candidate would possess skills in Salesforce technology while having experience with cloud platforms (AWS, Azure or GCP), coupled with hands on persistence and data streaming technology experience (Snowflake, Kafka). Experience with Python and Databricks is highly desirable. We would like you to be comfortable performing multiple roles. We strive to get things done quickly, with high quality, and we are committed to the agile methodology. Our work is guided by lean principles (looking at value and looking for waste; not doing anything 'for the sake of doing it'). We're looking for a passionate, impactful, engineer who wants to come here to do their very best work and make their mark, add their chapter to the long and storied history of The Walt Disney Company. Someone who holds themselves and their teammates accountable in a professional, collaborative manner. A collaborative technologist who seeks to bring the best out in themselves and those around them. Someone who can provide a fresh perspective and innovative insight to our initiatives. Responsibilities and Duties of the Role: KEY RESPONSIBILITIES Deliver software projects with high quality on time. Provide domain expertise and innovative solutions to complex business problems Collaborate with leads and contribute to software architectures which are robust, scalable, fault-tolerant, secured and cloud-native Possess Salesforce CRM Analytics solution design and implementation experience Reason logically and creatively, identifying problems, drawing valid conclusions from the data available, and develop effective solutions while applying creative thinking in the design and development of high performing web applications Stay up-to-date on the latest software development technologies and trends Contribute to code reviews and ensure that all code meets quality standards Deliver multiple projects utilizing an Agile methodology Take a high ownership, self-sufficient, hands-on position on the team to contribute and drive quality, maintain application stability Write complex programs, analyze code changes and suggest improvements Check-in valuable, clean and well-documented code on a daily basis that adds new features and capabilities Investigate and resolve any production issues from end user (UI) to persistence layer and work to prevent them Work with the team to make sure all project deliverables are on time and high quality Work collaboratively with cross-functional teams to ensure that software solutions align with business goals Required Education, Experience/Skills/Training: YOU MUST Hold a Bachelor's degree in Computer Science, Computer Information Systems, Engineering, or another technical field Have 3+ years of experience in web application development or software engineering in a large enterprise environment using Salesforce and CRM Analytics platform Have Salesforce Certifications Be able to demonstrate significant experience working with relational databases, SQL and newer NoSQL data stores as well as event streaming platforms (Snowflake, Kafka) Have a strong interest in open source technology Possess good communication skills and enjoy mentoring and helping others to succeed as a team Care about your craft and have opinions about the "right" way to do things with technology PREFERRED EXPERIENCE/EDUCATION/SKILLS Master's degree in Computer Science, Software Engineering or related technical discipline is highly desirable Experience in vibe coding and AI tools Previous work experience in Ad Platforms, Accounts Receivable and/or financial applications Experience working with vendor teams to deliver high quality results Knowledge of AWS managed services, performance testing and application profiling Strong curiosity about how Disney delivers the Magic and a desire to be a part of it The hiring range for this position in New York, NY is between $120,300 - $161,300 and Seattle, WA is between $120,300 - $161,300. 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.

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 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.

Senior Principal Software Architect Enterprise Platforms Plano, TX 75024 (5 Days Onsite Role - No Flex) Full-Time Permanent Role Notes: No Sponsorship or Visa Transfer is available at this time. Candidates must be authorized to work in the U.S. without the need for current or future employer sponsorship. Notes from Client: Our Texas team is looking for assistance filling another opportunity a Senior Application Architect position. This role is on the same team as the Application Architect position we recently filled, but at a more senior level with an increased emphasis on technical leadership, mentorship, and architectural guidance. They currently have two openings for this position. Key Details: Location: Plano, TX (Onsite 5 days/week) Local candidates only No relocation assistance Education: Bachelor's degree in Computer Science, Software Engineering, or a related field required; Master's degree or relevant certifications preferred. Experience: 10+ years of software engineering experience with significant expertise in application architecture, solution design, and technical leadership. Technical Requirements: o Deep expertise in Microservices Architecture o Strong Application Architecture background o Strong SQL/Database Design & Concepts o Node.js and React preferred Candidate Profile: Seeking candidates with a strong application development background. The client prefers individuals who have remained close to hands-on application architecture rather than those who have recently been focused primarily on enterprise architecture. Hands-On Development: This is not a purely architectural or management role. The selected candidate should be comfortable remaining approximately 70% hands-on in the code while also providing technical leadership and mentoring junior engineers. Position Overview: Senior Principal Software Architect Enterprise Platforms Senior Principal Architect will lead the design and delivery of a new enterprise platform supporting high-volume customer and transaction operations. You will own the architecture from initial design through production launch. The environment requires real-time processing, strong security, complex integrations, dependable performance, and the ability to operate at significant scale. This is an architecture leadership position with direct influence over technology selection, engineering standards, and delivery rather than an advisory-only role. This is a very hands-on role, including working with the code. What Youll Own: Establish the architectural direction for a new enterprise transaction platform. Translate business and operational requirements into scalable system designs, technical roadmaps, and implementation standards. Guide the platform through design, development, testing, deployment, and production launch. Design distributed applications using microservices, event-driven architecture, cloud-native services, and appropriate serverless patterns. Architect for high transaction volumes, real-time data processing, resilience, security, and operational continuity. Lead integrations with payment services, customer-management systems, external platforms, and enterprise APIs. Evaluate technologies, frameworks, databases, and development tools based on performance, reliability, security, and maintainability. Identify architectural bottlenecks and guide performance optimization across applications, integrations, and data services. Establish engineering standards, conduct architecture and code reviews, and ensure development teams follow the agreed design. Work closely with engineering, enterprise architecture, DevOps, security, product, UX, and business operations. Mentor senior engineers and communicate technical decisions clearly to executives, business leaders, and technical teams. Required Experience: 10+ years of software engineering experience, including substantial responsibility for enterprise application architecture and technical leadership. Direct experience designing or modernizing large-scale, high-availability transaction or customer operations platforms. Demonstrated ownership of a major software platform from inception through production launch. Deep knowledge of distributed application patterns, including microservices, event-driven systems, high-availability architecture, and cloud-native design. Strong development background using one or more of the following: Java, C#, Python, or JavaScript. Experience with frameworks such as Spring, .NET, or Node.js. Advanced knowledge of relational and NoSQL database architecture, transactional data, performance tuning, and data consistency. Experience deploying applications on AWS, Azure, or Google Cloud. Background integrating complex third-party systems, payment platforms, and APIs. Working knowledge of application security, payment-card data protection, privacy engineering, and secure software design. Strong understanding of Agile delivery, automated testing, CI/CD, DevOps, and production support. Ability to lead technical teams and explain complex architectural decisions to technical and nontechnical audiences. Education & Eligibility: Bachelors degree in Computer Science, Software Engineering, or a related discipline, or equivalent relevant experience. An advanced degree or architecture-related certification is beneficial. Must be authorized to work in the United States. If you possess these qualifications and are excited about the prospect of contributing to dynamic team, we encourage you to apply.

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. Our Technology Enablement Engineering teams design, build, and operate cloud-based platforms that power applications across Disney Entertainment & ESPN Product & Technology (DEEP&T). We partner closely with product and engineering teams to create and improve system stability, scalability, and operational excellence through automation, observability, and engineering best practices. The Software Engineer II plays a key role in planning, designing, and implementing software and infrastructure solutions that support highly available and resilient systems. This engineer works on cloud-native platforms, distributed systems, and automation tooling that improves operational efficiency, and developer productivity. In this role, the engineer will collaborate across engineering teams to develop scalable systems, enhance platform capabilities, and drive improvements in system performance, reliability, and deployment workflows. You will: Develop and deliver solutions for problems of moderate scope and complexity, ensuring reliable deployment to production environments. Communicate status, progress, risks, and blockers clearly with team members and stakeholders while maintaining visibility into upcoming work. Troubleshoot software defects, improve existing systems, and contribute new functionality using clean, maintainable, and well-tested code. Evaluate existing systems, standards, and engineering practices to identify opportunities for improvements in reliability, scalability, and operational efficiency. Collaborate with software engineers, platform teams, and technical leaders to design and implement solutions for moderately complex technical challenges. Identify opportunities to improve engineering productivity and operational efficiency through automation, tooling, and responsible use of AI-assisted development technologies. Responsibilities: Write code that impacts business goals, within guidelines and policies. Review code for design, logic, testability, usability, and adherence to standards. Strive for operational excellence and continuous improvement. Develop specifications for assigned components, projects, or fixes, and breaks down projects into prioritized tasks. Build solutions that scale and perform in the cloud. Participate in project proposal, architecture, and design. Implement assigned projects and tasks efficiently and comprehensively. Participate in planning for short, medium, and long term goals. Oversee technical maintenance. Perform troubleshooting for systems that tend to be large and complex. Design, development, documentation, and testing. Apply experience to resolve a variety of issues across a variety of technologies such as software, IaC, networking, code delivery, cloud-native services, security, and others. Identify problems and opportunities and recommend solutions. Serve as a technical resource for less experienced software engineers. Basic Qualifications: Minimum of 3 years of related work experience within the software infrastructure engineering field Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Well-versed in Software Engineering and Infrastructure Engineering principles, patterns, and best practices. Ability to understand the business domain from both a technical and product viewpoint Minimum of 2 years experience working with AWS Cloud Infrastructure and Resources Proficient in Python and/or other comparable programming language Well-versed with modern infrastructure services and concepts such as containerization (e.g. Docker), distributed systems, Infrastructure-as-Code (e.g. Terraform, CloudFormation), and microservices. Exposure to working with globally distributed teams Experience working within an Agile environment Preferred Qualifications: Experience using modern AI-assisted development tools (e.g., Copilot, Cursor, or similar) to improve code quality, accelerate development, and enhance documentation. Understanding of foundational AI/ML concepts, familiarity with cloud-native AI services such as model hosting, and/or ability to use AI tools to automate cloud operations tasks. The hiring range for this position in New York, NY is $123,000 to $165,000 and in Los Angeles, CA is $117,500 to $157,500 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.

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 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.

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. 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.

Department 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 mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. Team Description: The Data Solutions & Products group is part of Enterprise Technology. We are responsible for designing and developing enterprise solutions and managing a diverse portfolio of products and tools related to Data, Analytics and Automation used by business teams across The Walt Disney Company. The Lead Data Platform Engineer position is one of the key technical leadership roles on the team. You will have the opportunity to be the Lead Engineer for major development projects related to data & analytics solutions and platforms. The first project this role will be responsible as the Lead Engineer for leading is the implementation of a Finance Data Layer-a data lakehouse that provides data to Finance systems and applications including an EPM system, BI reporting & analytics, and AI/ML applications. You will be working in a challenging, fast-paced, highly collaborative and rewarding environment, as a member of product and project teams that work closely with each other and with our business partners to deliver innovative and industry-leading business solutions. What You'll Do: Leading teams of developers (both Disney Cast Members and external vendors) in major software/data development projects. Designing and developing highly scalable, distributed enterprise data platform solutions. Design, develop and implement scalable distributed enterprise data platform solutions, focusing on multi-cluster warehousing, data sharing, and optimized storage. Write code that establishes and enhances frameworks and design proof of concepts, and review code for correctness, and its impact on software architecture. Lead the development of high-performance ETL/ELT pipelines using tools like dbt, Python, Airflow and more to integrate diverse data sources. Provide mentorship and direction to more junior software engineers on the team; serve as an advanced resources for other engineers on the team. Being the ongoing technical lead for data platform products (post-implementation)-leading engineering support for the production platform, leading ongoing enhancement projects, guiding technical product roadmap Partner with Data Science, Analytics, and Product teams to ensure the platform meets evolving business requirements. Establish standards for data modeling (Vault, Star Schema), security (RBAC), and data quality frameworks. Excellent communication skills, ability to communicate well to both technical and business audiences Strong collaboration skills Required Qualifications & Skills: 7+ years of professional programming and design experience in Scala, Java, Python etc.; demonstrated experience designing and developing enterprise data solutions and platforms Demonstrated experience leading engineering initiatives on major software and data development projects Experience with medallion-based data Lakehouse architectures Experience with high-scale cloud data platforms and with at least one major cloud provider (AWS, Azure, or GCP) Expert knowledge of data integration, dimensional modeling and data warehousing techniques. Experience implementing CI/CD pipelines for data Proficiency in Java, SQL Experience with Snowflake Preferred Qualifications: Experience with enterprise data domains is preferred (especially Finance and HR data) Experience with AI/ML Experience with SAP Systems (S4, BW, HANA, BDC) Experience with EPM Systems (e.g. Oracle EPM) Experience with Data Governance Experience with Master Data Management Experience with BI tools Required Education: Bachelor's degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Master's Degree a Plus The hiring range for this position in Burbank, CA is $155,700 - $208,700 per year and in Seattle, WA is $163,100 - $218,700 per year and in Orlando, FL is $148,300 - $190,200 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.

Department 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. The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. The Global Information Security (GIS) organization strives to secure the magic by employing best-in-class services to assess, prevent, detect, and respond to cyber threats that present risk to The Walt Disney Company. We enable the business by integrating enterprise and business segment-specific supported services to create a robust, efficient, and adaptable cybersecurity program. Our key objectives are to: Secure the Magic by protecting information systems and platforms. Reduce Risk by proactively assessing, preventing, and detecting to prevent harm to the Company and our Guests. Strengthen the business through optimizing execution, application, and technology used to protect the Company. Innovate by investing in core capabilities to enhance operational efficiency. Team Description: Our DevOps Platform Team builds and ships shared security infrastructure, governance tooling, and enterprise automation at scale - with a relentless focus on production quality and engineering craft. This team designs, develops and implements security automation tools and sites to help our customers focus on areas of risk. This role involves taking ownership of technical projects, collaborating with team members, and contributing to security automation initiatives What You'll Do: The Senior Security Engineer - Software Engineer will: Work within the Security Development and Design team that is responsible for protecting the network and company assets from any security threats or attacks through the development of security automation capabilities. Architect and implement code deployment pipelines using GitLab or similar CI/CD processes Design and optimize security tool deployments, introducing scalable processes across Cyber Security capabilities Collaborate effectively with cross-functional teams and contribute to Information Security team efforts across the broad spectrum of information security programs Design, develop, and implement reliable platforms needed to host Applications with security requirements Build, maintain, and improve runbooks for application support and incident response procedures Design and implement monitoring solutions for all aspects of applications, including alerting capabilities Communicate effectively with stakeholders and contribute to technical decision-making Take ownership of security automation projects and contribute to team initiatives Research and evaluate new technologies and security tools to enhance team capabilities Required Qualifications & Skills: 5+ years of experience with scripting languages like Python, Bash, and PowerShell with ability to build reliable automation Strong knowledge of OpenSearch, PostgreSQL, and other data storage platforms including basic optimization techniques Proficient knowledge of Infrastructure as Code tools (CloudFormation, Terraform, Azure Resource Manager, Google Deployment Manager) with experience managing multi-environment deployments Proven ability to learn and maintain cutting-edge skills across multiple technical areas (Unix/Linux, Application Security, Vulnerability Management, etc.) Experience with deployment of new software and maintenance of deployed software in production environments Strong analytical and problem-solving skills with ability to troubleshoot distributed systems Proven ability to design solutions for complex problems and contribute to process improvement initiatives Experience handling confidential information and understanding of security best practices Preferred Qualifications: Strong expertise in Cloud Platforms (AWS/GCP/Azure) with experience in cloud architecture Proficiency in Terraform with experience managing infrastructure across environments Python/YAML/JSON with backend development experience Designing and implementing CICD pipelines through Jenkins, GitLab, or other enterprise tools Container technologies (Kubernetes, Docker) and orchestration concepts Knowledge of security frameworks and compliance standards (SOC2, ISO 27001, NIST) Security scanning tools integration and vulnerability management platforms Monitoring and observability tools (Prometheus, Grafana, ELK stack) Understanding of network security concepts and implementation Required Education: Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Relevant security certifications (CISSP, CISM, AWS Security, etc.) preferred . The hiring range for this position in Seattle, WA is $135,400-$181,600 and in Burbank, CA is $129,300-$173,300 per year and in Orlando, FL is $123,100-$165,100 . 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.

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. Media Engineering builds the software and systems that prepare media content and metadata for the Disney Streaming platform - providing the best possible playback experience to our viewers. Media Engineering handles audio, video, and metadata content from ingest through publish - for normalization, processing, and packaging - supporting operator tools and automation for a scalable workflow. We build logic across players and back-end services to measure, control, and optimize playback across our stack. Our team is seeking a Senior Software Engineer to help us deliver excellent streaming experiences for Hulu, Disney+ and ESPN+ as a developer of our web-based JavaScript player. Our team is responsible for playback across many devices including browsers, televisions, gaming consoles, and set-top boxes. You will have the opportunity to lead in the design and implementation of our cross-platform JavaScript player that runs Disney+, Hulu and ESPN on these devices. We're looking for an experienced engineer who has video player and cross platform development experience. Excellent fluency in JavaScript and web development is required. You should have a passion for coding and debugging hard problems, and an eagerness to help us deliver seamless video to our subscribers. Being a Senior engineer, you will get to own large features, lead the technical direction of our work, and mentor and provide technical expertise to other engineers. You will work closely with other technical teams in the application layer and backend video services to deliver features. Responsibilities Develop and maintain our JavaScript player that drives our streaming experience Optimize our player to perform well for resource constrained platforms Create and review architecture and technical designs Maintain a strong understanding of our code to identify, research and address issues Collaborate with application development teams, services engineering teams and product management to help understand and explain device limitations and requirements Lead in strategies to ensure the quality and stability of our deployments, including testing strategies and telemetry approaches Develop our project's build system and continuous integration system as needed Provide technical expertise or mentoring to developers on our team Drive high development standards Basic Qualifications 5+ years of full software development lifecycle experience Highly fluent in JavaScript and web technologies Experience developing for web browsers & other web-based client devices Experience in Streaming technologies, such as: HLS (preferred) or DASH DRM technologies like PlayReady or Widevine Adaptive Bitrate Streaming Algorithms Caption and subtitle formats such as CEA-608 / 708 Codecs AVC, HEVC, AAC, EAC3 Experience developing and optimizing high-performance client-side media applications Experience using build runners / compilation tools for multi-platform projects Strong individual contributor with a drive to learn and patience to teach others Great communication and collaboration skills and a strong teamwork ethic Experience using AI-assisted development tools effectively BS or BA in Computer Science, Engineering, or related field or equivalent experience Preferred Qualifications Experience developing for living room devices, e.g. Samsung, LG, Hisense, Vizio. Experience developing for gaming consoles (e.g. Playstation, Switch), Android devices (e.g.FireTV), or similar devices The hiring range for this position 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.