P
osition SummaryWe 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
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
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 - $345,650In New York, the pay range for this position is $238,700 - $345,650In Massachusetts, the pay range for this position is $207,900 - $301,100In Washington, the pay range for this position is $223,500 - $323,700
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
