Senior Machine Learning Engineer, Ad Platforms

Disney Streaming

Seattle, WA, USA
Los angeles, ca: $141,900 - $190,300; seattle, wa:...
State of the art ai and machine learning
Scalable, high impact ai/ml solutions
Robust ml systems
Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come

Job Summary

  • Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
  • Ad Platforms is responsible for Disney’s industry-leading ad technology and products – driving advertising performance, innovation, and value in Disney’s sports, news, and entertainment content, across all media platforms.
  • This role offers a unique leadership opportunity for an experienced ML engineer who thrives at the intersection of technical excellence, strategic impact, and cross-functional collaboration.

Matching Summary

Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.

Salary

Los Angeles, CA: $141,900 - $190,300; Seattle, WA: $148,700 - $199,400; Bonus and/or long-term incentive units may be provided

Skills & Requirements

Must-have

  • state of the art AI and machine learning
  • scalable, high impact AI/ML solutions
  • robust ML systems
  • Python, Java, SQL programming
  • TensorFlow, Pytorch, Hugging libraries
  • deep learning methodologies
  • transformer architectures
  • multimodal embedding techniques
  • LLM models and RAG architectures

Nice-to-have

  • digital video advertising experience
  • digital marketing domain experience
  • Databricks and AWS Sagemaker

Key Requirements

  • Bachelor's in computer science or equivalent experience
  • Minimum 5 years of hands-on experience
  • Strong knowledge of AI/ML technologies, mathematics and statistics
  • Strong foundations in algorithms, data structures, and numerical optimization
  • Proven proficiency in deep learning methodologies
  • Hands-on experience with transformer architectures
  • Strong understanding of multimodal embedding techniques
  • Experience with LLM models
  • Strong grasp of LLM evaluation methodologies
  • MS or PhD in computer science or equivalent experience

Work Rights

Not specified

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