Staff Agentic ML Engineer - Photoshop

P osition Summary We are building an advanced AI platform that powers next\-generation creative workflows for flagship products like Photoshop and Lightroom. As a Senior Machine Learning Engineer (or Applied Scientist), you will combine deep technical expertise with architectural leadership to design and implement reasoning systems, tool orchestration, and multimodal integrations using cutting\-edge large language models (LLMs) and vision\-language models (VLLMs). The Opportunity (M)LLM post\-training and evaluation, including fine\-tuning, alignment, and domain adaptation Agent system architecture design and implementation at scale Practical agent development using frameworks such as LangChain, LangGraph, MCP, and A2A Image generation and editing with multimodal AI Building and owning rigorous evaluation frameworks for LLM and agent performance What You'll Do Lead the development of next\-generation AI agents that improve and extend Adobe's product ecosystem Drive the architecture and implementation of robust agentic systems that combine reasoning, retrieval, tool use, and multimodal capabilities Own end\-to\-end LLM fine\-tuning pipelines — data curation, training, RLHF/DPO alignment, and evaluation Design and maintain comprehensive evaluation frameworks to measure agent quality, reliability, and safety Implement state\-of\-the\-art LLM techniques for specialized creative applications Mentor and grow engineers and scientists across the team; establish technical best practices Move fast in an environment where priorities evolve and problems are sometimes loosely defined What You Need to Succeed Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field 8\+ years of industry ML experience Demonstrated expertise in LLMs, fine\-tuning (SFT, RLHF, DPO, PEFT/LoRA), and agentic system development in production Deep experience building evaluation frameworks for L