Data scientists at Disney Direct-to-Consumer are the insights and modeling partners for the growth, content, marketing, product, and engineering teams across Disney+, Hulu and ESPN+. They leverage data, statistical methods, and machine learning to generate insights, predictions, and scalable solutions that inform critical decisions and shape the experiences of millions of viewers worldwide. Through model development, analysis, visualization, and data products, they build capabilities that are continuously refined through close collaboration with cross-functional business stakeholders.
As a Senior Data Scientist on the Content Understanding team, you will lead the design, development, and deployment of advanced NLP, multimodal machine learning, and large language model (LLM) solutions to support content classification, segmentation, metadata enrichment, similarity modeling, and related downstream applications across Disney+, Hulu, and ESPN+. This role requires deep expertise in modern deep learning architectures, hands-on experience adapting and evaluating foundation models, and a strong track record of delivering production-grade AI systems in partnership with engineering and cross-functional stakeholders.
Key Responsibilities
Lead the design, development, evaluation, and deployment of advanced NLP, LLM, and multimodal ML solutions for content understanding use cases.
Build and adapt models for tasks such as text classification, semantic similarity, retrieval, ranking, metadata enrichment, and multimodal understanding across text, image, and video.
Fine-tune, customize, and optimize open-source and foundation models using modern techniques such as supervised fine-tuning, parameter-efficient tuning, retrieval-augmented generation, and embedding-based methods.
Partner closely with product, engineering, analytics, and business stakeholders to translate ambiguous business needs into scalable machine learning solutions.
Drive production excellence through strong software engineering discipline, including testing, code review, CI/CD, orchestration, monitoring, and model lifecycle management.
Contribute technical leadership through architecture decisions, best practices, experimentation strategy, and mentorship of other scientists.
Basic Qualifications
Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field.
Strong expertise in deep learning, NLP, embeddings, transformer-based architectures, and large language model systems, including attention mechanisms, tokenization, representation learning, and modern evaluation methodologies.
Experience with production ML systems, including CI/CD, job orchestration, containerization, monitoring, and MLOps practices.
Experience evaluating ML systems using appropriate technical and product metrics, and balancing quality, latency, scalability, and maintainability.
Preferred Qualifications
Master’s degree or Ph.D. in Computer Science, Engineering, Mathematics, Statistics, or a related field.
Experience with retrieval systems, vector databases, semantic search, and retrieval-augmented generation (RAG).
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The hiring range for this position in Santa Monica, CA is $141,900 to $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.
