Lead AI Software Engineer Jobs in The Walt Disney Company Santa Monica, CA

The Disney Entertainment and ESPN Product & Technology (DEEP&T) Commerce, Growth and Identity Client Engineering organization delivers experiences across Disney+, Hulu, ESPN+, and Star+ built on a common platform and shared technology. We are fast-paced and fast-growing organization that shares knowledge and code for initiatives throughout Disney! Our mission: Building inclusive user-centered experiences that welcome users, guiding them through a seamless journey from login to sign up, and facilitating effortless account management. As a member on DEEP&T Web Commerce team you’ll build the core sign-up, purchase, and subscription management experiences of our Web platform.

• Integrate generative AI (artificial intelligence) to power business impact on frontend clients.
• Apply machine learning models on large scale data sets to boost conversions on Hulu, Disney+, and ESPN+.
• Improve engineering efficiency by using development data to improve developer workflows, code quality, and build/deploy processes.
• Discover applications for machine learning and artificial intelligence for Disney’s streaming brands.
• Collaborate with engineering teams, program managers, and product managers to deliver high impact features.
• Mentor and onboard team members on ML (machine learning) and AI (artificial intelligence) technologies.

Required Qualifications & Skills:

• 7+ years of experience in a technical field
• Bachelor’s in CS (or related field) required
• Proficient with JavaScript and Python.
• Worked with models like Vertex/Gemini, ChatGPT, Nova, or Deepseek.

Preferred Qualifications & Skills:

• MS or higher degree in computer science or related field
• 4+ years of working experience using applied AI to solve real-world business problems and deliver value.
• Experience with embeddings, RAG, RLHF, prompt engineering, and fine tuning.
• Knowledge of industry tools like PyTorch, Tensorflow, LangChain, and LlamaIndex.

Education:

• Bachelor’s in Computer Science (or related field) and/or equivalent work experience required