About the job
Exciting opportunity for a Staff Machine Learning Engineer to lead the development of next-generation AI agents for flagship Photoshop and Lightroom products. Drive architectural innovation, mentor engineers, and shape the future of creative workflows using LLMs and multimodal AI. Join us to make a real impact in the AI platform space.
Responsibilities
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
Qualifications
Minimum
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
Preferred
Experience with multimodal models (vision-language, image generation/editing)