Senior ML Engineer - Real-Time Data & Streaming

5014 Disney Entertainment & Sports LLC; Glendale (CA); On-site; USD 141,900 - 190,300; Full time

Benefits offered by this job

Comprehensive medical benefits

Bonus and long-term incentive units

Job summary

Disney Entertainment & Sports LLC is seeking a Senior Machine Learning Engineer to join their team in Glendale, CA. You will be responsible for building and operating data infrastructure that supports scalable, real-time ML use cases while collaborating closely with teams to enhance data reliability and performance.

The ideal candidate will have 5+ years of industry experience, strong knowledge of distributed systems, and proficiency in Python and cloud environments. A comprehensive benefits package accompanies the position.

Qualifications

• 5+ years of industry experience building data-intensive or ML-adjacent systems.
• Experience with large-scale data technologies in production.
• Strong fundamentals in distributed systems and data processing.

Responsibilities

• Build and maintain data pipelines to support ML and analytics.
• Develop systems for real-time feature computation and delivery.
• Collaborate with teams to enable production ML workflows.

Skills

Building and operating large-scale data or ML systems

Distributed systems and data processing architectures

Streaming and batch data technologies

Proficiency in Python

Experience in cloud-native environments

Collaboration skills

Education

Bachelor’s or Master’s degree in Computer Science

Tools

Kafka

Kinesis

Spark

Flink

AWS

Kubernetes

Job description

Disney Entertainment & Sports LLC is seeking a Senior Machine Learning Engineer to join their team in Glendale, CA. You will be responsible for building and operating data infrastructure that supports scalable, real-time ML use cases while collaborating closely with teams to enhance data reliability and performance.

The ideal candidate will have 5+ years of industry experience, strong knowledge of distributed systems, and proficiency in Python and cloud environments. A comprehensive benefits package accompanies the position.