Senior Machine Learning Engineer

Roles & Responsibilities

• The role will focus on building out machine learning solutions for WBDs content and Ad platform. Primary focus will be on unlocking machine learning opportunities in media supply chain, captioning services, ad conditioning, metadata extraction and building foundational machine learning training and inference pipelines at scale.
• You have a successful track record for ambitious projects across cross-functional teams. You are passionate and results oriented. You strive for technical excellence and are very hands-on. Your co-workers love working with you. You have built respect in your career through concrete accomplishments.
• Build cutting-edge capabilities utilizing machine learning and data science (e.g., large language models, computer vision models, advanced ad & content targeting, etc.)
• Build end to end ML pipelines to train, deploy and server ML models at scale.
• Leverage industry best practices and tools to continually improve teams' ability to build, operate and maintain products.
• Ensure that technical solutions are in line with established WBD Digital strategy, standards in respect to architecture, security, corporate governance, coding standards, monitoring, logging, unit test, and service enablement.

What to Bring

Skills Required

Golang, Algorithms, Machine Learning, Scala, Python, Tensorflow, Pytorch