Senior Machine Learning Engineer

Disney Entertainment and ESPN Product & Technology

Glendale, CA, USA
Base: $141,900 to $190,300 py (ca); $148,700 to $1...
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5+ years software engineering experience
3+ years production ml system deployment
Python proficiency with java and sql
** Disney Entertainment and ESPN Product & Technology is seeking a Senior Machine Learning Engineer to design and operate production machine learning systems that enhance advertising technology. The ideal candidate will have extensive experience in deploying ML systems, particularly in high-throughput environments, and will be responsible for driving technical ownership and collaboration across teams. **

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 successful candidate will own major components of the model lifecycle, from experimentation and validation to deployment, monitoring, and continuous iteration based on data feedback.
  • Disney's Ad Platform Engineering team builds a proprietary supply-side platform (DRAX) that integrates demand from multiple third-party sources into Disney's ad server in real time.

Matching Summary

Match Score: 75

** Disney Entertainment and ESPN Product & Technology is seeking a Senior Machine Learning Engineer to design and operate production machine learning systems that enhance advertising technology. The ideal candidate will have extensive experience in deploying ML systems, particularly in high-throughput environments, and will be responsible for driving technical ownership and collaboration across teams. **

Salary

Base: $141,900 to $190,300 per year (CA); $148,700 to $199,400 per year (WA); 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 production ML system deployment
  • Python proficiency with Java and SQL
  • Low-latency high-throughput environment experience
  • TensorFlow PyTorch Hugging Face framework knowledge

Nice-to-have

  • Experience in digital video advertising domain
  • Programmatic advertising or real-time bidding background
  • MS or PhD in Computer Science preferred
  • Deep learning and Transformer architecture expertise
  • Cloud-native infrastructure and distributed platforms

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 development
  • Strong foundation in algorithms and numerical optimization

Work Rights

Not specified

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