Senior Machine Learning Engineer
Core
Building and operating distributed data and ML infrastructure for high-throughput, low-latency real-time processing and personalization at scale.
Role type
Senior Machine Learning Engineer (Infrastructure)
Builds
Streaming data pipelines, feature computation systems, and ML-adjacent services for Disney+ and ESPN platforms.
Domain
Media & Entertainment, Real-time Data Systems
Deliverable
production ML models | infrastructure
Required skills
Distributed systems, Streaming data technologies (Kafka, Kinesis, Spark, Flink), Python, Cloud-native environments (AWS, Kubernetes), Observability
Preferred skills
Real-time personalization/recommendation systems, Feature stores, Event-driven architectures, ML lifecycle tooling, Experimentation platforms
Technologies
Kafka, Kinesis, Spark, Flink, Python, Java, Scala, Go, C++, AWS, Kubernetes, IaC
Responsibilities
Build and maintain high-throughput batch and streaming data pipelines; Develop real-time feature computation and delivery systems; Build and operate ML-adjacent services (inference inputs, feature APIs); Instrument infrastructure with metrics, logging, and alerting for production operations.
Seniority
Senior, hands-on IC