Adobe is looking to pioneer AI in enterprise software by developing AI assistants and multi-agent systems to enhance customer experiences in areas like audience creation, journey optimization, and personalized experiences on a large scale within their Digital Experience platform.
Requirements
- Strong understanding of machine learning, deep learning, statistical modeling, or natural language processing.
- Demonstrated experience in research (publication record at top AI/ML conferences strongly preferred).
- Experience with Python required; familiarity with PyTorch/TensorFlow or A2A/MCP is beneficial.
- Familiarity with data analysis tools and modern ML stacks (e.g., SQL, scikit-learn, Hugging Face, or cloud ML platforms).
- Experience with LLMs including prompt/context-engineering, modern LLM APIs, fine-tuning models etc.
- Strong analytical problem-solving skills, with ability to invent experiments and interpret results.
Responsibilities
- Conduct practical research and development in a fundamental area of creating smart assistants and multi-agent systems, like natural language understanding, designing conversational interactions, generative and agent-based AI, logic, learning through rewards, causal reasoning, and ongoing learning.
- Develop and implement scalable, efficient, and interpretable algorithms that can work with large-scale data in production systems, specifically the AEP Agent Orchestrator and AI Assistant.
- Build benchmark datasets, evaluation protocols, and metrics to advance model performance.
- Collaborate with applied researchers, engineers, and product managers to translate research ideas into coordinated solutions.
- Present findings through technical reports, publications, or demos to share impact internally and externally.
Other
- Enrolled full-time in a Computer Science, Statistics, Data Science, NLP, or related quantitative field program, expecting graduation between December 2026 - June 2027.
- Excellent communication skills with the ability to explain technical results to non-technical collaborators.
- Ability to participate in a full-time internship between May-September.
