Machine Learning Engineer 5

Adobe is seeking a Principal Machine Learning Engineer to join their Advertising Cloud team, specifically within the Spend Optimizer group. This role offers an exciting opportunity to work at the intersection of advertising technology and advanced machine learning.

The position involves leading a team of skilled ML engineers, focusing on applying cutting-edge techniques including reinforcement learning, time series analysis, bayesian modeling, and Gen AI frameworks to optimize ad spending. You'll be working on Adobe's Advertising Cloud platform, which combines a Demand Side Platform (DSP) with a Spend Optimizer to help customers maximize their digital media investments across various channels including CTV, Online Video, Display, Search, Social, and Retail Media Networks.

As a technical leader, you'll be responsible for designing and implementing sophisticated ML algorithms, collaborating with cross-functional teams, and driving innovation through research and experimentation. The role requires deep expertise in machine learning frameworks, strong programming skills, and the ability to deploy and maintain models in production environments.

The ideal candidate should bring 10+ years of experience in applied Machine Learning, preferably with domain expertise in digital advertising technologies. A PhD or master's degree in Computer Science, Applied Math, Statistics, or related field is required. You'll be joining a company that's committed to changing the world through digital experiences and values innovation, diversity, and exceptional employee experiences.

This role offers the opportunity to work on impactful projects that help global advertisers deliver connected and personalized experiences to their consumers, while being part of Adobe's mission to empower creativity and transform how companies interact with customers across every screen.