Machine Learning Engineer

Adobe is seeking a Machine Learning Engineer to join their team focused on optimizing the experience of Adobe's Digital Experience customers. This role offers an exciting opportunity to work at the intersection of research and product development, collaborating with Adobe Research and other business units to build transformative products for audience creation, journey optimization, and personalization at scale.

The position combines cutting-edge machine learning development with practical product implementation. You'll be working on developing and deploying innovative models, with a particular focus on building autonomous agents and using agentic frameworks for adaptive decision-making. The role requires both technical depth in ML/AI and the ability to implement production-grade systems following ML-Ops best practices.

Adobe offers a competitive compensation package ranging from $102,400 to $196,300 annually, varying by geographic location, plus benefits including medical insurance, 401k, equity compensation, and annual incentive plans. The company is well-established in the ML space and provides the opportunity to work with a diverse, collaborative team of engineers and scientists.

The ideal candidate will bring a combination of technical expertise in machine learning, practical experience with large-scale data systems, and strong communication skills. You'll need either a Bachelor's degree with 2+ years of applied AI/ML experience or a Master's degree in a relevant field, along with proficiency in languages like Python, Java, or SQL and frameworks like TensorFlow or PyTorch.

This role represents an opportunity to impact how companies approach audience creation and personalization while working for a global leader in digital experiences. You'll be part of Adobe's mission to transform how companies interact with customers across every screen, contributing to innovative solutions that leverage the latest in machine learning technology.