Lead Machine Learning Engineer, Ad Platforms

Disney Disney · Media · Santa Monica, CA +2

Lead Machine Learning Engineer for Disney's Ad Platforms, focusing on applying and scaling AI/ML solutions for advertising domains like forecasting, targeting, and delivery. The role involves inventing, prototyping, deploying, and scaling ML systems, with a strong emphasis on LLMs, RAG, and evaluation methodologies. Requires significant experience in developing and deploying large-scale ML systems and mentoring junior engineers.

What you'd actually do

  1. 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.
  2. Invent and iterate on novel solutions to complex advertising challenges with rapid prototyping and deployment cycles.
  3. Design, build, and scale robust ML systems that power core ad platform capabilities
  4. Champion engineering excellence through best practices in code quality, system design, and operational reliability.
  5. Mentor and support junior engineers, fostering a culture of continuous learning and technical growth.

Skills

Required

  • Python
  • Java
  • SQL
  • deep learning methodologies
  • recurrent and sequence-based models
  • transformer architectures (e.g., BERT, GPT, ViT)
  • multimodal embedding techniques
  • LLM models (GPT, Claude, Gemini, Llama)
  • LLM evaluation methodologies
  • RAG architectures
  • algorithms
  • data structures
  • numerical optimization

Nice to have

  • Databricks
  • TensorFlow
  • Pytorch
  • Hugging libraries
  • digital video advertising
  • digital marketing domain
  • forecasting models

What the JD emphasized

  • Minimum 7 years of hands-on experience developing and deploying large-scale machine learning systems.
  • A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required.

Other signals

  • Drive innovation and apply state of the art AI and machine learning across advertising domains
  • Invent and iterate on novel solutions to complex advertising challenges with rapid prototyping and deployment cycles
  • Design, build, and scale robust ML systems that power core ad platform capabilities
  • Experience with LLM models such as GPT models, Claude, Gemini, Llama, etc.
  • Strong grasp of LLM evaluation methodologies, experience with RAG architectures.