Senior Machine Learning Engineer

Disney Entertainment and ESPN Product & Technology

Glendale, CA, USA
Base: $141,900 to $190,300 py (glendale/santa moni...
5+ years software engineering experience
3+ years deploying ml systems in production
Python proficiency with java and sql
This role involves designing and operating production machine learning systems that directly impact revenue and viewer experience at a global scale of billions of daily requests

Job Summary

  • This role involves designing and operating production machine learning systems that directly impact revenue and viewer experience at a global scale of billions of daily requests.
  • The team builds Disney's Real-time Ad Exchange (DRAX), an award-winning proprietary supply-side platform integrating demand from multiple third-party sources into the ad server in real time.
  • Success is measured by production outcomes, system reliability, model performance, and continuous iteration based on data rather than research-only activities.

Matching Summary

This role involves designing and operating production machine learning systems that directly impact revenue and viewer experience at a global scale of billions of daily requests.

Salary

Base: $141,900 to $190,300 per year (Glendale/Santa Monica); Base: $148,700 to $199,400 per year (Seattle); Bonus/Equity: May be provided; Benefits: Full range of medical, financial, and other benefits included

Skills & Requirements

Must-have

  • 5+ years software engineering experience
  • 3+ years deploying ML systems in production
  • Python proficiency with Java and SQL
  • Experience with TensorFlow PyTorch or Hugging Face
  • Operating ML systems in low-latency high-throughput environments

Nice-to-have

  • Experience in digital video advertising domain
  • Familiarity with programmatic advertising platforms
  • MS or PhD in Computer Science preferred
  • Knowledge of Transformer architectures like BERT
  • Experience with Large Language Models and RAG

Key Requirements

  • Bachelor's degree in Computer Science or related field
  • Minimum 5 years of software engineering experience
  • Minimum 3 years hands-on ML system deployment experience

Work Rights

Not specified

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