Staff Machine Learning Engineer

Adobe is seeking a Staff Machine Learning Engineer to join their Unified Brand Services (UBS) team. This role focuses on building and productizing cutting-edge multi-modal Generative AI-powered solutions to address key challenges in marketing content creation at scale for enterprise content supply chains.

The platform service delivers sophisticated representations for crafting on-brand content and provides robust tools to evaluate brand compliance across high-traffic Adobe surfaces, including Adobe GenStudio for Performance Marketers (GS PeM), Adobe Workfront, Adobe Experience Manager (AEM), and more.

The role involves collaborating with cross-functional teams to innovate, design, implement, and deliver pioneering machine learning capabilities using Generative AI, Computer Vision, and NLP skills. Key responsibilities include designing algorithmic solutions, conducting analytical experiments with large vision language models (LLMs, VLMs), and developing scalable services for deep ML algorithms.

The ideal candidate should have an MS or PhD in Computer Science with specialization in NLP, Computer Vision, or Machine Learning, along with 5+ years of work experience. They should possess expert programming skills in Python and frameworks like PyTorch, with experience in cloud platforms like Azure and AWS.

The compensation reflects Adobe's commitment to competitive pay, with a salary range of $162,000 - $301,200 annually, varying based on location and experience. This is an opportunity to make a significant impact in a fast-paced, startup-like environment while working on cutting-edge AI technologies at one of the world's leading software companies.