Sr Machine Learning Engineer

Disney Streaming

Lake Buena Vista, FL, USA
Base: $155,700 - $208,700 py (burbank, ca); base: ...
Not specified (assumed hybrid based on company culture)
7+ years software engineering experience
Production-grade ml model deployment
Python, javascript, typescript, go, or rust proficiency
Disney Streaming is seeking a Sr Machine Learning Engineer to develop self-healing infrastructure management systems that leverage machine learning and AI. The ideal candidate should have extensive experience in software engineering, machine learning model deployment, and a collaborative mindset to enhance operational efficiency

Job Summary

  • This role serves as a strategic driver in applying advanced analytics and AI to large-scale telemetry to create self-healing infrastructure management systems.
  • The successful candidate will design reusable machine learning frameworks that integrate into enterprise automation platforms to proactively detect issues and predict failures.
  • Disney Streaming seeks a thought leader to build closed-loop, event-driven systems where model signals trigger automated remediation actions across global networks.

Matching Summary

Match Score: 85

Disney Streaming is seeking a Sr Machine Learning Engineer to develop self-healing infrastructure management systems that leverage machine learning and AI. The ideal candidate should have extensive experience in software engineering, machine learning model deployment, and a collaborative mindset to enhance operational efficiency.

Salary

Base: $155,700 - $208,700 per year (Burbank, CA); Base: $163,100 - $218,700 per year (Seattle, WA); Bonus/Equity: Provided; Benefits: Full range of medical, financial, and other benefits

Skills & Requirements

Must-have

  • 7+ years software engineering experience
  • Production-grade ML model deployment
  • Python, JavaScript, TypeScript, Go, or Rust proficiency
  • Anomaly detection and forecasting in distributed environments
  • Event-driven streaming data pipelines
  • Kubernetes and Docker container orchestration
  • Feature engineering on high-volume telemetry data

Nice-to-have

  • Experience building AI agents
  • Mentoring engineers and fostering learning culture
  • Contributions to open-source automation communities
  • Reinforcement learning for automated remediation
  • Low-code/no-code automation platform development
  • Unsupervised and semi-supervised learning application
  • Complex event processing and correlation techniques

Key Requirements

  • Bachelor's degree in Computer Science or related field
  • 7+ years of software engineering experience
  • Master's degree preferred in Computer Science or Engineering
  • Proven hands-on experience with PyTorch, TensorFlow, or Scikit-learn
  • Experience operationalizing models in distributed production environments

Work Rights

Not specified

Tailored Resume

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