Machine Learning Jobs in Glendale, CA

Leads a team of Product Managers focused on Emerging Technology, commercial intelligence, operational efficiency, and guest-facing experiences. Owns product roadmaps, business cases, technology strategy, experimentation, product lifecycle delivery, KPIs, stakeholder engagement, and executive communications. Requires strong cross-functional leadership, data-driven prioritization, agile product development, and experience delivering AI- and technology-enabled products across complex international organizations.

Own the strategy, roadmap, lifecycle, and delivery of AI-assisted content intelligence products supporting Disney’s global media supply chain. Translate complex operational needs into product requirements, align engineering, data science, QA, and business stakeholders, and lead Agile execution. Define product success through KPIs and OKRs, drive adoption, mentor product managers, optimize workflows, and guide multi-team initiatives while balancing near-term delivery with long-term platform goals.

Leads a team of Product Managers responsible for AI-assisted content intelligence products supporting media analysis, enrichment, localization, and distribution. Owns portfolio vision, product strategy, roadmaps, operating plans, resource allocation, executive stakeholder alignment, and cross-team governance. Develops business cases and ROI models for capital initiatives, manages dependencies, and guides teams in applying AI/ML, user research, workflow analysis, and Agile delivery practices.

Lead cross-functional strategic initiatives for news and entertainment digital products. Define product vision, KPIs, and data-driven growth strategies; unify CRM/messaging and automation; leverage experimentation and AI/ML; advance experiment data governance; present to executives; and coach product teams to deliver scalable user experiences.

Develop and maintain software components for ML-assisted media content inspection pipelines supporting automated asset validation, enrichment, and analysis. Integrate AI and machine-learning services, work with computer vision and LLM workflows, support cloud-based systems, and assist with production monitoring and troubleshooting. The role requires collaboration, testing, documentation, and continuous development of software, cloud, and introductory machine-learning skills.

Leads the architecture, development, and operation of Disney’s AI and machine learning platform for finance. Responsibilities include managing a global engineering team, building production LLM applications and governed data foundations, defining AI/ML roadmaps, enforcing RBAC and engineering quality, guiding build-versus-integrate decisions, partnering with finance stakeholders, and driving enterprise adoption. The role is hands-on, involving architecture, implementation, technical reviews, code review, model evaluation, and delivery oversight.

Own the technical architecture and strategic direction of Disney’s News & Entertainment machine learning platform. Lead personalization, recommendation systems, ML infrastructure, data pipelines, model training, online serving, reliability, incident response, and platform standards across major media brands. Drive metrics-based business outcomes, cross-organizational engineering initiatives, technology adoption, architecture reviews, and mentorship of senior engineers.

Build and operate large-scale batch and streaming data pipelines and real-time feature infrastructure to support production ML. Develop ML-adjacent services, ensure reliability/observability, participate in on-call and incident response, and collaborate with ML, data, and platform teams to meet latency, availability, and data quality requirements.

Lead development of ML infrastructure and pipelines for real-time personalization and recommendations. Own end-to-end initiatives from design to production, drive scalable training and inference, ensure observability and CI/CD, mentor engineers, and collaborate with product and editorial stakeholders to deliver low-latency, personalized news experiences at scale.