Senior Machine Learning Engineer

Responsibilities

• Build and maintain high-throughput batch and streaming data pipelines to support ML, analytics, and real-time decisioning use cases.
• Develop and operate systems that support real-time feature computation and delivery for online ML services.
• Build and operate ML-adjacent services such as inference inputs, feature APIs, and data access layers.
• Instrument data and ML infrastructure with metrics, logging, and alerting to support production operations.
• Collaborate with applied ML and data science teams to enable production ML workflows through reliable data systems.

Requirements

• 5+ years of industry experience building data-intensive or ML-adjacent systems in production.
• Experience building and operating large-scale data or ML systems.
• Strong fundamentals in distributed systems and data processing architectures.
• Hands-on experience with streaming and batch data technologies (e.g., Kafka, Kinesis, Spark, Flink, or equivalent).
• Proficiency in Python and working knowledge of Java, Scala, Go, or C++.
• Experience operating systems in cloud-native environments (AWS, containers, Kubernetes, IaC tools).
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Machine Learning, or a related field.

Preferred Qualifications

• Experience supporting real-time personalization, recommendation, or analytics systems.
• Familiarity with feature stores, event-driven architectures, and real-time ML pipelines.
• Exposure to ML infrastructure concepts such as inference pipelines, data validation, and model lifecycle tooling.
• Experience optimizing data systems for latency, throughput, and cost efficiency.

About the Company

The Walt Disney Company is a leading diversified international family entertainment and media enterprise. Disney Entertainment & ESPN Product & Technology focuses on reimagining ways to create magical viewing experiences and building the infrastructure that powers Disney’s media, advertising, and distribution businesses globally.