Lead Machine Learning Engineer

Lead Machine Learning Engineer

About the Role & Team

On any given day at Disney Entertainment and ESPN Product & Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming our media business for the future. Whether that’s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to enhance flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.

A few reasons why we think you’d love working here:

• Building the future of Disney’s media: DEEP&T Technologists are designing and building the infrastructure that will power our media, advertising, and distribution businesses for years to come.

• Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ESPN and ESPN+, and much more.

• Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.

The Commerce, Growth & Identity (CGI) organization is dedicated to three business-critical areas at Disney that will help transform its media business. We build innovative and cutting-edge capabilities to drive subscriptions, engagement, and monetization across Disney's streaming and digital products. We enable the wide range of Disney brands to connect and engage with consumers through a unified identity, powered by shared services that are trustworthy and seamless to integrate with.

The Disney Entertainment and ESPN Product & Technology (DEEP&T) Commerce, Growth and Identity Client Engineering organization delivers experiences across Disney+, Hulu, ESPN+, and Star+ built on a common platform and shared technology. We are fast-paced and fast-growing organization that shares knowledge and code for initiatives throughout Disney! Our mission: Building inclusive user-centered experiences that welcome users, guiding them through a seamless journey from login to sign up, and facilitating effortless account management. As a member on DEEP&T Web Commerce team you’ll build the core sign-up, purchase, and subscription management experiences of our Web platform.

You will serve as a high level technical resource and “go-to” person, solving sophisticated technical challenges and finding opportunities to improve systems, products, and services!

What You Will Do

• Drive ground-breaking innovation and apply state of the art machine learning models to boost conversions on Hulu, Disney+, and ESPN+.

• Improve developer efficiency by using development data to improve workflows and code quality.

• Develop scalable and efficient methods for large scale data analysis and model development.

• Build and experiment brand new algorithms and models end-to-end through production rollout and continuous optimization. 

• Partner with product teams to define product strategies and drive direction.

• Develop new approaches and provide leadership to the organization to invent and implement visions for the client team.

• Mentor team members on machine learning, prompt engineering, and data analysis.

Required Qualifications & Skills

• 7+ years of experience in a technical field

• Understanding on ML/AI technologies, mathematics, and statistics. 

• Proficient with Python and Javascript.

Preferred Qualifications & Skills

• MS or higher degree in computer science or related field

• 4+ years of working experience on machine learning and artificial intelligence at leading internet companies.

• Knowledge of or experience with industry tools like PyTorch, Tensorflow, LangChain, and LlamaIndex.

• Expertise in embeddings, Retrieval-augmented generation (RAG), Reinforcement learning from human feedback (RLHF), prompt engineering, and fine tuning.

Education

• Bachelor’s in Computer Science (or related field) and/or equivalent work experience required