2026 AI/ML Intern - Machine Learning Engineer
2026 AI/ML Intern - Machine Learning Engineer
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Job Description
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!
The Opportunity
Adobe is looking for a Machine Learning intern who will apply AI and machine learning techniques to big-data problems to help Adobe better understand lead and optimize the experience of its customers.
By using predictive models experimental design methods and optimization techniques you will be working on the research and development of exciting projects like real-time online media optimization sales operation analytics customer churn scoring and management customer understanding product recommendation and customer lifetime value prediction.
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
Develop predictive models on large-scale datasets to address various business problems with statistical modeling machine learning and analytics techniques.
Develop and implement scalable efficient and interpretable modeling algorithms that can work with large-scale data in production systems
Collaborate with product management and engineering groups to develop new products and features.
What You Need to Succeed
Currently enrolled full time and pursuing a Masters or PhD degree in Computer Science Computer Engineering; or equivalent experience with an expected graduation date of December 2026 June 2027
Good understanding of statistical modeling machine learning deep learning or data analytics concepts.
Proficient in one or more programming languages such as Python Java and C
Familiar with one or more machine learning or statistical modeling tools such as R Matlab and scikit learn
Strong analytical and quantitative problem-solving ability.
Excellent communication relationship skills and a team player
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.
Adobe is proud to be anEqual Employment Opportunityemployer. We do not discriminate based on gender race or color ethnicity or national origin age disability religion sexual orientation gender identity or expression veteran status or any other applicable characteristics protected by law.Learn more.
Adobe aims to make accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process emailor call .
Required Experience:
Intern
Employment Type
Full-Time
