Sr Machine Learning Engineer

Disney Streaming

Seattle, WA, USA
Seattle: $148,700 - $199,400; los angeles: $141,90...
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 and champion engineering excellence through best practices in code quality, system design, and operational reliability.
  • 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

Seattle: $148,700 - $199,400; Los Angeles: $141,900 - $190,300; 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
  • engineering excellence best practices
  • algorithms, data structures, numerical optimization
  • Python, Java, SQL programming
  • deep learning methodologies
  • transformer architectures
  • multimodal embedding techniques
  • LLM models and RAG architectures

Nice-to-have

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

Key Requirements

  • 5 years hands-on ML systems experience
  • Bachelor's in computer science or equivalent
  • Strong AI/ML, math, statistics knowledge
  • Excellent communication and collaboration skills
  • Proven proficiency in deep learning
  • Hands-on transformer architectures experience
  • Strong LLM evaluation and RAG experience
  • Thrive in fast-paced, data-driven environment

Work Rights

Not specified

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