Machine Learning Engineer 5

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

The role involves leading a team of skilled machine learning engineers in designing and implementing ML algorithms and models. You'll be applying cutting-edge techniques including reinforcement learning, time series analysis, bayesian modeling, and Gen AI frameworks to optimize advertising spend across multiple channels.

Adobe Advertising Cloud is a sophisticated platform combining a Demand Side Platform (DSP) with a Spend Optimizer to help customers plan, buy, measure, and optimize their digital media across CTV, Online Video, Display, Search, Social, and Retail Media Networks. The platform helps global advertisers maximize their media budgets through connected and personalized experiences.

As a technical leader, you'll:

• Guide and mentor a team of ML engineers
• Collaborate with cross-functional teams to determine technical requirements
• Develop and deploy scalable ML solutions that drive customer value
• Lead innovation through research and experimentation
• Monitor and optimize model performance

The ideal candidate brings:

• 10+ years of applied Machine Learning experience delivering cloud-scale products
• PhD or Master's in Computer Science, Applied Math, Statistics or related field
• Deep expertise in ML frameworks like PyTorch, TensorFlow, scikit-learn
• Strong programming skills in Python
• Experience with Bayesian Modeling, Time Series Analysis, and Reinforcement Learning
• Track record of deploying ML models in production
• Domain knowledge in digital advertising technology (preferred)
• Strong collaboration and influence skills across technical and business stakeholders

This is an excellent opportunity for an experienced ML leader who wants to drive innovation at scale, working with cutting-edge AI technologies while solving real business challenges in the digital advertising space.