2026 Intern - Machine Learning Engineer

Adobe Adobe · Enterprise · San Jose, CA +1

This internship focuses on building LLM-powered solutions for marketing efficiency using generative AI, agentic workflows, and RAG. The role involves designing, developing, and integrating these AI systems into marketing applications, collaborating with cross-functional teams, and staying updated on LLM trends. Requires experience with RAG, autonomous workflows, and multi-agent systems.

What you'd actually do

  1. Design and develop LLM-powered solutions to improve marketing efficiency, using generative AI techniques and real-world performance data.
  2. Assist in building and experimenting with ML and generative AI models to extract insights from large datasets.
  3. Integrate generative AI into marketing applications to improve performance and engagement.
  4. Partner with cross-functional teams to address AI-related challenges in marketing workflows.
  5. Present findings and recommendations to collaborators across the organization.

Skills

Required

  • Master’s or PhD degree in Computer Science, Data Science, Machine Learning, or a related field
  • Proven experience building and deploying LLM-powered applications
  • expertise in RAG, autonomous workflows, and multi-agent systems
  • Familiarity with end-to-end machine learning pipelines
  • Proficiency in Python, SQL
  • Proficiency in AI/ML frameworks (e.g., PyTorch, TensorFlow)
  • Familiarity with marketing performance metrics and their application in AI models
  • Ability to work independently and collaboratively
  • Strong communication and problem-solving skills

What the JD emphasized

  • Proven experience building and deploying LLM-powered applications
  • expertise in RAG, autonomous workflows, and multi-agent systems

Other signals

  • LLM-powered solutions
  • generative AI
  • agentic workflows
  • Retrieval-Augmented Generation (RAG)
  • multi-agent systems