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

Staff GenAI/ML Engineer role focused on designing, prototyping, and building GenAI-enabled solutions and platform components for enterprise use cases. This role involves integrating LLMs, RAG, fine-tuning, and prompt engineering, as well as contributing to technical strategy and MLOps best practices.

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

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

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

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

Lead Machine Learning Engineer for Disney's Ad Platforms, focusing on applying and scaling AI/ML solutions for advertising domains like forecasting, targeting, and delivery. The role involves inventing, prototyping, deploying, and scaling ML systems, with a strong emphasis on LLMs, RAG, and evaluation methodologies. Requires significant experience in developing and deploying large-scale ML systems and mentoring junior engineers.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Lead Software Engineer to drive the development of scalable, intelligent systems that support licensing financial operations and AI-driven decision-making. This role will be instrumental in shaping the architecture and delivery of next-generation platforms that power financial licensing workflows and predictive analytics. Apply machine learning and AI techniques to optimize licensing workflows, forecasting, and compliance monitoring.

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

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

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

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

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