Staff Agentic ML Engineer - Photoshop

- (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

- 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

- 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 LLM and multi-agent systems (LLM-as-judge, automated benchmarks, red-teaming) - Proficiency in PyTorch and agentic frameworks: LangChain, LangGraph, MCP, Agent Development Kit (ADK) - Fluency with AI-assisted development tools (e.g.

Claude Code, Codex, Cursor) while maintaining independent engineering judgment and critical ownership of technical decisions - Strong foundation in data structures, algorithms, and software engineering principles - Excellent problem-solving and communication skills; comfortable operating in fast-moving, ambiguous environments - Experience with multimodal models (vision-language, image generation/editing) is a strong plus

Expected Pay Range: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $190,200 -- $345,650 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience.

Your recruiter can share more about the specific salary range for the job location during the hiring process.

In California, the pay range for this position is $238,700 - $345,650 In New York, the pay range for this position is $238,700 - $345,650 In Massachusetts, the pay range for this position is $207,900 - $301,100 In Washington, the pay range for this position is $223,500 - $323,700