Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.
The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses.
What You’ll Do
- Develop, optimize, and productionize innovative technologies in generative AI (mixed media, video, and agentic LLM applications) as well as in traditional ML modeling applications.
- Create, evaluate, improve, and optimize technologies.
- Drive innovation and apply state of the art AI and machine learning across advertising domains, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery.
- Invent and iterate on novel solutions to complex advertising challenges with rapid prototyping and deployment cycles.
- Design, build, and scale robust ML systems that power core ad platform capabilities.
- Champion engineering excellence through best practices in code quality, system design, and operational reliability.
- Mentor and support junior engineers, fostering a culture of continuous learning and technical growth.
What To Bring
- Bachelor's in computer science or equivalent experience.
- Prior experience rigorously developing, researching, and/or productionizing generative AI modeling or AI-based editing domains: image, video, mixed media, audio, LLMs, or agentic flows.
- Strong interest to self‑teach via publications and training resources in generative modeling.
- Experience creating ML datasets or developing rigorous quality evaluation processes or data labeling processes.
- Experience developing language‑processing applications via LLMs or agentic flows.
- Experience in rapid creative prototyping with generative AI.
- Minimum 7 years of hands‑on experience developing and deploying large‑scale machine learning systems.
- Strong knowledge of AI/ML technologies, mathematics, and statistics.
- Excellent communication and collaboration skills.
- Strong foundations in algorithms, data structures, and numerical optimization. Experience in Python, Java, and SQL.
- Familiarity with TensorFlow, PyTorch, JAX, Hugging Face libraries, etc.
- Expert knowledge with traditional tabular ML modeling and methods.
- Proven proficiency in deep learning methodologies, fine‑tuning, and transformer architectures.
- Proven track record thriving in a fast‑paced, data‑driven, and collaborative environment.
- Experience working closely with UX and front‑end designers building production generative AI products.
Nice‑to‑Haves
- MS or PhD (preferred) in computer science or equivalent experience.
- Experience with multimodal models and embedding techniques.
- Computer vision or visual content understanding experience.
- Experience in digital video advertising or digital marketing domain.
- Diffusion model or generative AI controls research experience.
Location
Seattle / Santa Monica / Glendale
Compensation
The hiring range for this position in Santa Monica, CA is $171,600 to $230,100 per year and in Seattle is $179,700 to $241,000. The base pay will be based on internal equity and may vary depending on the candidate’s geographic region, job‑related knowledge, skills, and experience. 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 other benefits, dependent on the level and position offered.
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