Lead ML Engineer: Generative AI & Ad Tech Innovator

Disney Entertainment and ESPN Product & Technology; Glendale (CA); On-site; USD 172,000 - 230,000; Full time

Benefits offered by this job

Bonus potential

Job summary

Disney Entertainment and ESPN Product & Technology is seeking a Lead Machine Learning Engineer to drive generative AI and traditional ML initiatives across ad tech. You will design, implement, and scale ML systems, collaborating with product, data science, and UX teams to deliver impactful advertising solutions.

The role emphasizes leadership, rapid prototyping, and high performance in a fast-paced, data-driven environment.

Qualifications

• Bachelor’s in computer science or equivalent experience.
• Minimum 7 years of hands-on experience developing and deploying large-scale machine learning systems.
• Experience with generative AI modeling or AI-based editing domains: image, video, mixed media, audio, LLMs, or agentic flows.
• Experience in rapid prototyping with generative AI and collaboration with UX/front-end designers.

Responsibilities

• Develop, optimize, and productionize innovative technologies in generative AI and traditional ML modeling.
• Drive innovation across advertising domains including inventory forecasting, ad experience, and targeting.
• Design, build, and scale robust ML systems powering core ad platform capabilities.
• Mentor junior engineers and promote engineering excellence.

Skills

Generative AI

ML engineering

Python

LLMs

Multimodal AI

Data pipelines

Distributed systems

Cloud platforms

TensorFlow/PyTorch

Algorithms & optimization

Education

Bachelor's in computer science or equivalent experience

MS/PhD preferred

Tools

TensorFlow

PyTorch

Jax

Job description

Disney Entertainment and ESPN Product & Technology is seeking a Lead Machine Learning Engineer to drive generative AI and traditional ML initiatives across ad tech. You will design, implement, and scale ML systems, collaborating with product, data science, and UX teams to deliver impactful advertising solutions.

The role emphasizes leadership, rapid prototyping, and high performance in a fast-paced, data-driven environment.