Job Details

Lead Machine Learning Engineer - Ad Platforms at The Walt Disney Company

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney's media business globally. The Ad Platforms team is responsible for Disney's industry-leading ad technology and products, driving advertising performance, innovation, and value across all media platforms.

Ad Platform research aims to transform advertising and Disney's Ad platform with AI and data science. We build solutions to measure and optimize every aspect of the advertising life cycle. Our team delivers end-to-end machine learning and data science solutions, and seeks a Lead Machine Learning Engineer to lead development for prediction or optimization engines for addressable ad platforms. The right candidate will have experience crafting implementations for machine learning technologies or data-driven algorithms and be proactive and innovative.

What You'll Do

• Drive ground-breaking innovation and apply state-of-the-art AI and machine learning in various areas to enhance advertising, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery.
• Invent and iterate novel solutions for complex ad challenges with fast turnaround.
• Lead the ad algorithm architecture design and iteration of the advertising system.
• Develop scalable and efficient approaches for large-scale data analysis and model development.
• Build and experiment with new algorithms and models end-to-end, from production rollout to continuous optimization.
• Collaborate with engineering teams, product managers, and program managers in an open and creative environment.
• Mentor team members and support their technical growth.

What To Bring

• Bachelors degree (MS or PhD preferred) in computer science or equivalent experience
• At least 7 years of working experience on large-scale machine learning at leading internet companies. Experience in the advertising domain and forecasting algorithms is preferred.
• Strong knowledge of AI/ML technologies, mathematics, and statistics.
• Proficient in Java, Python, Scala, large-scale ML/DL platforms and processing tech stack.
• Passionate about understanding the ad business, applying advanced research to business scenarios, and seeking opportunities to enhance business effectiveness.
• Passionate about technology, open to interdisciplinary collaborations, and experienced in building data-driven services and applications.
• Thrives in a fast-paced, data-driven, and collaborative work environment.

NICE-TO-HAVES

• Experience in digital video advertising or digital marketing domain
• Experience with CTR/CVR models, generative AI, forecasting models
• Experience with feature store, audience segmentation and MLOps
• Experience with TensorFlow, Kubeflow, Databricks or Sagemaker

Compensation and Benefits

The hiring range for this position in Santa Monica, CA and Glendale, CA is $167,700 - $224,900 per year and in Seattle is $175,800 - $235,700. The base pay offered will depend on geographic region, job-related knowledge, skills, and experience; a bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to a full range of benefits.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Entertainment Providers