Agentic ML Engineer - Photoshop

Senior Machine Learning Engineer

Position 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:

• 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 Lang Chain, Lang Graph, 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:
  Lang Chain, Lang Graph, 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

About Adobe:

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and Gen Studio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

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.