Lead Software Engineer, Machine Learning - Ad Platforms

$152,000 - $204,100/Yr

Disney Entertainment & ESPN Technology - Santa Monica, CA

Full-time - Senior

Santa Monica, CA

About the position

The Lead Software Engineer will be a key member of the Ad Platform Decisioning and Machine Learning Platform team at Disney Entertainment & ESPN Technology. This role focuses on enhancing advertising through machine learning and AI, specifically targeting prediction and optimization engines for Disney's addressable ad platforms. The position involves leading the development of components for a machine learning platform that improves various aspects of advertising, including inventory forecasting, ad experience, and efficient ad delivery.

Responsibilities

• Lead the development of components for the machine learning platform to enhance advertising aspects.
• Build next-generation platforms applying AI-based solutions for complex advertising challenges.
• Develop scalable and efficient approaches for large-scale data analysis and model development.
• Collaborate with researchers to productize cutting-edge innovations at scale.
• Balance architectural and design considerations such as performance, scalability, and reusability.
• Advocate best engineering practices, including design patterns, CI/CD, code review, and automated testing.
• Mentor and guide the professional and technical development of team members.

Requirements

• Bachelor's Degree in computer science or related field.
• 7+ years of professional programming and design experience in Java, Python, Scala, etc.
• Strong experience with machine learning technologies using TensorFlow, Kubeflow, PyTorch, Databricks, AWS SageMaker, etc.
• Experience building high-availability and scalable microservices.
• Experience with big data processing and technologies.
• Strong knowledge of system/application design and architecture.
• Passionate about understanding the ad business and seeking innovation opportunities.

Nice-to-haves

• Domain knowledge about advertising.
• Experience with GenAI technologies and LLMs.
• Experience with feature store, audience segmentation, and MLOps.

Benefits

• Medical benefits
• Financial benefits
• Bonus and/or long-term incentive units may be provided.