Advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance Ad decisioning, forecasting, experimentation and Ad experience for Disney Entertainment and ESPN Product & Technology.
Requirements
- Minimum 7 years of hands-on experience developing and deploying large-scale machine learning systems.
- Strong knowledge of AI/ML technologies, mathematics and statistics.
- Strong foundations in algorithms, data structures, and numerical optimization with experience in programming languages such as Python (primary), Java and SQL
- Familiarity with tools and frameworks such as TensorFlow, Pytorch, Hugging libraries etc
- Proven proficiency in deep learning methodologies, including recurrent and sequence-based models.
- Hands-on experience with transformer architectures (e.g., BERT, GPT, ViT) for natural language and vision tasks.
- Strong understanding of multimodal embedding techniques for integrating text, image, audio, and structured data.
Responsibilities
- 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.
Other
- Excellent communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences
- A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required.
- Required Education Bachelor's (MS or PhD preferred) in Computer Science, Software Engineering, or a related field
