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# Lead Machine Learning Engineer

- **Company:** The Walt Disney Company
- **Location:** Santa Monica, CA, United States
- **Experience:** Expert
- **Salary:** $174,100.0 - $233,500.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Big Data, Python (Programming Language), Machine Learning, Tensorflow, Scala (Programming Language), Feature Store, Kubernetes, Information Technology, Data Analytics, Machine Learning Operations
- **Published:** October 21, 2026
- **Apply:** https://dejobs.org/x/x/F71CB20FAE2F453B94BE7F1384820C29/job/

## About the Role

* Bachelor Degree in Computer Science or relevant field
 * 7+ years of working experience on large scale machine learning at leading internet companies.
 * Strong knowledge of AI/ML technologies, mathematics and statistics.
 * Proficient in Java, Python, Scala, large scale ML/DL platforms and processing tech stack.
 * 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.

NICE-TO-HAVES

 * MS or PhD in computer science or equivalent experience preferred
 * Experience in digital video advertising or digital marketing domain
 * Experience with CTR/CVR model, generative AI, forecasting algorithm model.
 * Experience with feature store, audience segmentation and MLOps
 * Experience with Tensorflow, Kubeflow or Sagemaker

## Description

* 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.
 * Mentor team members and support their technical growth.