2026 Intern - Machine Learning Engineer
About The Position
Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands— everything they need to design and deliver exceptional digital experiences. We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours. The Opportunity Adobe’s Growth Marketing & Insights (GMI) organization is seeking an Applied AI Engineer Intern to join its AI Strategy & Innovation team, a lean group focused on advancing marketing through generative AI solutions. This internship offers hands-on experience building applications that leverage LLMs, agentic workflows, and Retrieval-Augmented Generation (RAG) to drive marketing efficiency, insight, and engagement. As an intern, you will contribute to the design and deployment of AI systems that support strategic marketing initiatives, collaborate with cross-functional teams to solve real-world challenges, and explore emerging techniques in LLMs and machine learning. You will be part of a team that values innovation, experimentation, and impact. All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities
Requirements
- Currently enrolled full-time and pursuing a Master’s or PhD degree in Computer Science, Data Science, Machine Learning, or a related field, with an expected graduation date between December 2026 and June 2027
- Proven experience building and deploying LLM-powered applications, with expertise in RAG, autonomous workflows, and multi-agent systems (e.g., A2A, and MCP or equivalent experience)
- Familiarity with end-to-end machine learning pipelines
- Proficiency in Python, SQL, and AI/ML frameworks (e.g., PyTorch, TensorFlow)
- Familiarity with marketing performance metrics and their application in AI models
- Ability to work independently and collaboratively in a fast-paced environment.
- Strong communication and problem-solving skills, with the ability to present results to non-technical partners.
- Availability to participate in a full-time internship between May and September
Responsibilities
- Design and develop LLM-powered solutions to improve marketing efficiency, using generative AI techniques and real-world performance data.
- Assist in building and experimenting with ML and generative AI models to extract insights from large datasets.
- Integrate generative AI into marketing applications to improve performance and engagement.
- Partner with cross-functional teams to address AI-related challenges in marketing workflows.
- Present findings and recommendations to collaborators across the organization.
- Stay informed on the latest trends in LLM development and applications.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Intern
Number of Employees
5,001-10,000 employees
