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Senior Machine Learning Engineer - Personalization - Disney Entertainment and ESPN Product & Technology Careers
ML Engineer
Lead the design and deployment of advanced personalization models, leveraging Python, Machine Learning, and AWS to deliver tailored experiences across Disney’s media platforms.
About the role
Key Responsibilities
- Architect, develop, and production‑grade machine learning pipelines for real‑time personalization at scale.
- Collaborate with data scientists, product managers, and engineers to translate business goals into model features and evaluation metrics.
- Implement feature engineering, model training, and hyper‑parameter tuning using Python, Spark, and AWS services.
- Deploy models to production environments, monitor performance, and iterate for continuous improvement.
- Document best practices, maintain reproducible workflows, and mentor junior team members.
Requirements
- 5+ years of experience building ML solutions in a production setting.
- Strong proficiency in Python, SQL, and distributed computing frameworks (e.g., Apache Spark).
- Hands‑on experience with AWS ML services (SageMaker, Lambda, Glue) and model deployment pipelines.
- Deep understanding of recommendation systems, ranking, and personalization techniques.
- Excellent communication skills and a collaborative mindset.
Skills
pythonmachine learningawsapache spark