Senior ML Engineer - Real-Time Data & Streaming

Disney Entertainment; Glendale (CA); On-site; USD 144,000 - 193,000; Full time

Benefits offered by this job

Bonus program

Long-term incentives

Medical benefits

Financial benefits

Job summary

Disney Entertainment is investing in large-scale data infrastructure and real‑time processing platforms to power next‑generation personalization and live sports experiences. As a Machine Learning Engineer, you will focus on building and operating distributed data and ML infrastructure that supports high‑throughput, low‑latency data processing and real‑time ML use cases.

You will work closely with senior MLEs, data engineers, platform/SRE, and product teams to develop streaming data pipelines,

Qualifications

• Experience building and operating large-scale data or ML systems in production.
• 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).
• Familiarity with observability and operational best practices for production systems.
• Strong collaboration skills and ability to work effectively across engineering and data teams.

Responsibilities

• Build and maintain high-throughput batch and streaming data pipelines for ML, analytics, and real-time decisions.
• Develop and operate real-time feature computation and delivery for online ML services.
• Create ML-adjacent services such as feature APIs and data access layers; support autoscaling and resiliency.
• Collaborate with platform/SRE to improve system availability, performance, and cost efficiency.
• Instrument data and ML infrastructure with metrics, logging, and alerting; participate in on-call rotations.

Skills

Large-scale data/ML systems

Distributed systems

Streaming data tech

Python

Java/Scala/Go/C++

Cloud-native (AWS, containers, K8s, Ia

Observability for prod systems

Cross-team collaboration

Education

Bachelors or Masters in CS/Data/ML

Tools

Kafka

Kinesis

Spark

Flink

Docker

Kubernetes

IaC tools

Job description

Disney Entertainment is investing in large-scale data infrastructure and real‑time processing platforms to power next‑generation personalization and live sports experiences. As a Machine Learning Engineer, you will focus on building and operating distributed data and ML infrastructure that supports high‑throughput, low‑latency data processing and real‑time ML use cases.

You will work closely with senior MLEs, data engineers, platform/SRE, and product teams to develop streaming data pipelines,