Sr Data Scientist

Our R&D teams at Lucasfilm and ILM are seeking a Sr Data Scientist to join a strategic R&D initiative focused on Generative AI. The goal of this project is to develop a robust data curation pipeline that can help identify and leverage our most useful assets and media for technical model training. You will play a critical role in bridging the gap between raw visual data and advanced machine learning applications. You will be responsible for the statistical analysis, sampling strategies, and evaluation metrics required to ensure our training data is diverse, relevant, and optimized for next-generation image and video synthesis. _This role is considered Hybrid, which means the employee will work 2-3 days onsite at our San Francisco location and occasionally from home. This is a project position for 6 months._ What youu2019ll do Data Strategy & Diversity Analysis + Independently design and implement statistical methods to ensure curated datasets retain representative coverage across various visual attributes, stylistic choices, and subject matter. + Develop logic to identify and down-weight low-variance or repetitive data points to maximize training efficiency. + Collaborate with key stakeholders on algorithms for de-duplication to automatically eliminate redundant or near-identical assets from the training corpus. Evaluation Metrics & Quality Assurance + Design and lead implementation of automated metrics to assess the quality of generative images and videos. + Validate automated quantitative metrics by correlating them against qualitative feedback provided by senior creative stakeholders. + Establish success criteria for model fidelity, accuracy, and stylistic consistency. Pipeline Integration + Work closely with the engineering team to integrate data cleaning, normalization, and sampling modules into a scalable automated pipeline. + Assist in defining taxonomy and metadata standards to systematically organize unstructured visual assets. Project Focus & Timeline This is a fast-paced, 6-month initiative. You will move through rapidly iterating phases: + Phase 1: defining data taxonomy and establishing baseline automated metrics. + Phase 2: refining metrics for temporal consistency and validating against initial model fine-tuning runs. + Phase 3: final validation of metrics and delivery of fully curated, optimized datasets for cold storage. What Weu2019re Looking For + 5+ years experience in related field + Education - Bacheloru2019s degree in Data Science, Computer Science, or a related field of study, and/or equivalent work experience. Masteru2019s Degree preferred + Experience: Proven background in Data Science with a strong emphasis on Computer Vision, Generative AI, or Deep Learning. + Technical Skills: Proficiency in statistical analysis and dataset curation (distribution analysis, sampling techniques). Experience working with large-scale unstructured media data is a plus. + Evaluation Expertise: Familiarity with standard and novel metrics for evaluating Generative Models (e.g., FID, FVD, or similar). + Communication: Ability to translate complex statistical insights for engineering partners and non-technical creative leads. The hiring range for this position in San Francisco is $155,400-$208,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidateu2019s 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. Job ID: 10142140 Location: San Francisco,California Job Posting Company: Industrial Light & MagicThe Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

Created: 2026-02-06