Senior Machine Learning Engineer, Ads Research

Disney Entertainment & ESPN Technology

Seattle, WA, USA
Los angeles, ca: $141,900 - $190,300; seattle, wa:...
State of the art ai and machine learning
Novel solutions to complex advertising challenges
Robust ml systems
Drive innovation and apply state of the art AI and machine learning across advertising domains, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery

Job Summary

  • Drive innovation and apply state of the art AI and machine learning across advertising domains, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery.
  • Design, build, and scale robust ML systems that power core ad platform capabilities.
  • Mentor and support junior engineers, fostering a culture of continuous learning and technical growth.

Matching Summary

Drive innovation and apply state of the art AI and machine learning across advertising domains, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery.

Salary

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

Skills & Requirements

Must-have

  • state of the art AI and machine learning
  • novel solutions to complex advertising challenges
  • robust ML systems
  • best practices in code quality
  • Python, Java, SQL programming
  • deep learning methodologies
  • transformer architectures

Nice-to-have

  • digital video advertising experience
  • digital marketing domain experience
  • forecasting models experience
  • continuous learning and technical growth

Key Requirements

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

Work Rights

Not specified

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