Senior Machine Learning Engineer - Personalization - Disney Entertainment and ESPN Product & Technology Careers

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.