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# Machine Learning Engineer

- **Company:** Adobe Inc.
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Salary:** $238,700.0
- **Contract:** Permanent contract
- **Skills:** Adobe Photoshop, Adobe Photoshop Lightroom, Artificial Intelligence, Data Structures, Cursor (Graphical User Interface Elements), Machine Learning, Language Modeling, Systems Development Life Cycle, Software Engineering, Pytorch, Large Language Models, Multi-Agent Systems, Generative AI, Adobe, Information Technology
- **Published:** June 18, 2026
- **Apply:** https://www.dice.com/job-detail/6776bd05-fe6b-4c03-8ec8-fc2ddad8fe8e

## About the Role

* 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

## Description

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


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