Senior Machine Learning Engineer - ESPN
The Walt Disney Company2 hours ago
Tokyo, JapanSenior
Base Salary
$142k - $199k/yr
Responsibilities
- Build and maintain high-throughput batch and streaming data pipelines for ML, analytics, and real-time decisioning.
- Develop and operate real-time feature computation and delivery systems, including feature stores and event-driven architectures.
- Build ML-adjacent services such as inference inputs, feature APIs, and data access layers.
- Implement scalable service patterns including autoscaling, rollout strategies, and resiliency mechanisms.
- Instrument data and ML infrastructure with metrics, logging, and alerting, and participate in on-call rotations and incident response.
- Identify and remediate data pipeline failures, performance regressions, and operational risks.
- Collaborate with applied ML, data science, data engineering, platform/SRE, and product teams through design reviews, code reviews, and technical discussions.
Requirements
- 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 technologies such as 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 using AWS, containers, Kubernetes, and infrastructure-as-code tools.
- Familiarity with observability and production operational best practices.
- Strong collaboration skills across engineering and data teams.
- 5+ years of industry experience building data-intensive or ML-adjacent systems in production.
- Bachelor’s or master’s degree in Computer Science, Data Engineering, Machine Learning, or a related field.
- Preferred experience with real-time personalization, recommendation, analytics systems, feature stores, event-driven architectures, real-time ML pipelines, inference pipelines, data validation, model lifecycle tooling, experimentation platforms, and data instrumentation.
Benefits
- Full-time employment with medical, financial, and other benefits.
- Bonus and/or long-term incentive units may be provided in addition to base pay.
- The role is based in Glendale, California, with an alternate New York, New York location.
Tech Stack
Categories
Data EngineeringML Engineering