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Urgent! 2026 Intern - Applied Science/Machine Learning Engineer Job Opening In San Francisco – Now Hiring Adobe
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!
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 build and deliver outstanding digital experiences! We’re 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 Adobe’s 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 You’ll 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 (, 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 May–September.
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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Unlock Your 2026 Intern Potential: Insight & Career Growth Guide
Real-time 2026 Intern Jobs Trends in San Francisco, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for 2026 Intern in San Francisco, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 61681 jobs in United States and 1813 jobs in San Francisco. This comprehensive analysis highlights market share and opportunities for professionals in 2026 Intern roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Adobe is currently hiring and seeking a 2026 Intern Applied Science/Machine Learning Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: 2026 Intern Applied Science/Machine Learning Engineer Jobs San Francisco.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Adobe adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a 2026 Intern Applied Science/Machine Learning Engineer Jobs United States varies, but the pay scale is rated "Standard" in San Francisco. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for 2026 Intern Applied Science/Machine Learning Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your 2026 Intern Applied Science/Machine Learning Engineer interview at Adobe, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Adobe's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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