Senior Machine Learning Engineer, Ads Research

Disney Entertainment & ESPN Technology

Seattle, WA, USA
Los angeles, ca area: $141,900 to $190,300; seattl...
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 area: $141,900 to $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
  • novel solutions to complex advertising challenges
  • robust ML systems
  • engineering excellence best practices
  • deep learning methodologies
  • transformer architectures
  • LLM models and RAG architectures

Nice-to-have

  • digital video advertising domain
  • forecasting models

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
  • Experience in programming languages such as Python, Java and SQL
  • 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(preferred) in computer science or equivalent experience

Work Rights

Not specified

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