Senior Data Scientist - NLP/LLM
Postuler maintenant Postuler ultérieurement Job ID 10117749 Emplacement Glendale, Californie, États-Unis / Santa Monica, Californie, États-Unis / San Francisco, Californie, États-Unis / New York, New York, États-Unis / Seattle, Washington, États-Unis Entreprise Disney Direct to Consumer Date de publication 10/04/2025Résumé du poste:
About The Role
Data scientists at Disney Streaming Services are the insights and modeling partners for the growth, content, marketing, product, and engineering teams at Disney+, Hulu and ESPN+. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Scientists on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross-functional business partners.
As a Senior Data Scientist on the Segmentation and Content Understanding team, you will lead technical efforts in developing and deploying advanced NLP and Large Language Model (LLM) solutions to enhance user experience across Disney+, Hulu, and ESPN+. This role requires expertise in deep learning model architectures, fine-tuning, customization of open-source models, and hands-on experience deploying production-grade AI solutions.
Key Responsibilities
Develop and deploy advanced NLP and LLM solutions.
Customize and fine-tune foundational models such as BERT, GPT, and CLIP.
Create multimodal AI systems integrating text, image, and video data.
Optimize model performance (accuracy, latency, scalability) leveraging GPU infrastructure and distributed computing.
Deploy models and manage their lifecycle in production environments.
Implement robust CI/CD workflows and job orchestration for ML systems.
Follow software development best practices, including testing, code reviews, and continuous integration.
Champion and implement MLOps practices for seamless deployment and monitoring.
Basic Qualifications
Bachelors degree in Computer Science, Engineering, Mathematics, or related field.
5+ years of hands-on experience developing and deploying machine learning models in production environments.
Strong expertise in Deep Learning, NLP, large language models, embeddings, and related technologies.
Familiarity with transformers, attention mechanisms, multimodal models, and tokenization.
Proficient with Python, at least one of the deep learning frameworks (such as PyTorch or TensorFlow), and deep learning libraries (such as Hugging Face Transformers).
Hands-on experience with fine-tuning techniques and model optimization.
Solid understanding of hardware optimization, GPU usage, and performance trade-offs.
Proficiency in CI/CD processes, job orchestration tools, Docker, containerization, and MLOps workflows.
Excellent communication skills, capable of clearly articulating technical concepts to non-technical stakeholders.
Comfort working in fast-paced environments, adapting proactively to changing priorities.
Preferred Qualifications
Master’s degree in Computer Science, Engineering, Mathematics, or related field.
Experience using vector databases and retrieval systems.
Familiarity with GPU profiling and memory optimization for large models.
Familiarity with NLP techniques such as RLHF, parameter-efficient tuning, and retrieval-augmented generation (RAG).
Additional Information
#DISNEYTECH
The hiring range for this position in New York, NY and Seattle, WA is $145,400 to $195,000 per year. Santa Monica, CA is $138,900 to $186,200 per year, San Francisco, CA is $152,100 to $203,900 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.
Informations Supplémentaires:
DISNEYTECHSur Disney Direct to Consumer:
L’équipe « Direct to Consumer » de Disney supervise les activités de streaming Hulu et Disney+ au sein de Disney Entertainment, en aidant à apporter les meilleures histoires de The Walt Disney Company aux fans et aux familles partout dans le monde.
Sur The Walt Disney Company:
The Walt Disney Company, ainsi que ses filiales et sociétés affiliées, forme l’une des principales entreprises internationales diversifiées de divertissement familial et de médias. Elle comprend trois secteurs d'activités essentiels : Disney Entertainment, ESPN et Disney Experiences. Depuis ses modestes débuts en tant que studio de dessins animés dans les années 1920 jusqu’à son statut de référence actuel dans le secteur du divertissement, Disney poursuit fièrement sa tradition de création d’histoires et d’expériences exceptionnelles pour tous les membres de la famille. Les histoires, les personnages et les expériences de Disney touchent les consommateurs et les visiteurs du monde entier. À travers nos activités présentes dans plus de 40 pays, nos employés et cast members collaborent pour créer des expériences de divertissement appréciées à la fois au niveau universel et local.
Le poste est rattaché à Disney Streaming Services LLC , qui fait partie d’une entreprise que nous appelons Disney Direct to Consumer.
Disney Streaming Services LLC est un employeur qui souscrit au principe d’égalité des chances à l’emploi. Les candidat(e)s seront pris(es) en considération pour un emploi sans distinction de race, de religion, de couleur, de sexe, d’orientation sexuelle, de genre, d’identité de genre, d’expression de genre, d’origine nationale, d’ascendance, d’âge, d’état matrimonial, de statut militaire ou d’ancien combattant, d’état de santé, d’informations génétiques ou de handicap, ou de tout autre motif interdit par la loi fédérale, étatique ou locale. Disney défend un environnement commercial où les idées et décisions de tous et toutes nous aident à grandir, innover, créer les meilleures histoires et être pertinents dans un monde en évolution constante.