The Ad Platform research team at Disney Entertainment and ESPN Product & Technology is seeking a Senior Machine Learning Engineer to transform advertising and Disney's Ad platform with AI and data science, building solutions to measure and optimize every aspect of the advertising lifecycle.
Requirements
- 5+ years of relevant engineering experience working at leading technology companies.
- Strong knowledge of and experience implementing AI/ML technologies, mathematics and statistics.
- Proficient in Java, Python, Scala, large scale ML/DL platforms and processing tech stack.
- Experience in large scale machine learning.
- Experience in LLM and GenAI.
- Experience with CTR/CVR model, generative AI.
- Experience with feature store, audience segmentation and MLOps
Responsibilities
- Drive ground-breaking innovation and apply state of the art AI and machine learning in a variety of areas to enhance every aspect of advertising, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery.
- Invent and iterate novel solutions for complex ad challenges with fast turnaround.
- Lead the ad algorithm architecture design and iteration of the advertising system.
- Develop scalable and efficient approaches for large scale data analysis and model development.
- Build and experiment new algorithms and models end-to-end, from production rollout to continuous optimization.
- Collaborate with engineering teams, product managers, and program managers in an open and creative environment.
Other
- Passionate about understanding the ad business, applying advanced research to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness.
- Passionate about technology, open to interdisciplinary collaborations, and experienced in building data-driven services and applications.
- A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required.
- Bachelor's degree in computer science, Information Systems or related equivalent experience.
- Master’s degree in computer science, Information Systems or related equivalent experience.
