Staff Agentic ML Engineer - Photoshop

Adobe; San Jose (CA); On-site; USD 170,000 - 250,000; Full time

Job summary

Adobe seeks a Senior Machine Learning Engineer/Applied Scientist to design and implement reasoning systems, tool orchestration, and multimodal AI integrations for flagship products like Photoshop and Lightroom. You will lead end‑to‑end LLM pipelines, guide agentic architecture, and build scalable evaluation frameworks while mentoring engineers across the team.

This role requires deep expertise in LLMs, fine‑tuning, and production‑level agent development, with a strong emphasis on reliability,

Qualifications

• 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.
• Proficiency in PyTorch and agentic frameworks: LangChain, LangGraph, MCP, ADK.
• Fluency with AI‑assisted development tools and independent engineering judgment.
• Strong foundations in data structures, algorithms, and software engineering.
• Excellent problem‑solving and communication skills; adaptable in fast‑moving environments.
• Experience with multimodal models is a strong plus.

Responsibilities

• Lead the development of next‑generation AI agents that enhance Adobe’s product ecosystem.
• Architect robust agentic systems using reasoning, retrieval, tool use, and multimodal capabilities.
• Own end‑to‑end LLM fine‑tuning pipelines including data curation, training, RLHF/DPO, and evaluation.
• Design and maintain 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; establish technical best practices.
• Move fast as priorities evolve in a dynamic, ambiguous environment.

Skills

LLMs

Fine-tuning

Agent systems

PyTorch

LangChain

LangGraph

RLHF/DPO

Evaluation frameworks

Multimodal models

Software engineering

Education

Master’s or Ph.D. in CS/ML/DS

Tools

LangChain

LangGraph

MCP

ADK

PyTorch

Claude Code

Codex

Cursor

Job description

Overview

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

• 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 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

Equal Employment Opportunity

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.