2026 Intern Applied ScienceMachine Learning Engineer

Our Company

Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.

Were 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!

Our Company

Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to build and deliver outstanding digital experiences! Were passionate about empowering people to compose beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.

We aim to recruit top talent ensuring outstanding employee experiences with equal opportunities. New ideas are valued from all levels including yours!

The Opportunity

Applied Scientist / Machine Learning Engineering Interns wanted at Adobe to pioneer AI in enterprise software. Interns use innovative research techniques in projects like AI Assistant in AEP changing how Adobes Digital Experience customers handle audience creation journey optimization and personalized experiences on a large scale.

Support enterprise AI projects by implementing advanced research strategies experimental methods and optimization techniques to improve conversational experiences and workflow planning.

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.

What Youll Do

• 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.

What You Need to Succeed

• Enrolled full-time in a Computer Science Statistics Data Science NLP or related quantitative field program expecting graduation between December 2026 June 2027.

• 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.

• Excellent communication skills with the ability to explain technical results to non-technical collaborators.

• Ability to participate in a full-time internship between MaySeptember.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and fair chance ordinances.

Colorado:

Application Window Notice

There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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