2026 AI/ML Intern - Machine Learning Engineer

Adobe•San Jose, CA

1d•$45 - $55•Hybrid

About The Position

Adobe is seeking a Machine Learning intern to apply AI and machine learning techniques to big-data problems. The intern will help Adobe better understand, lead, and optimize customer experiences by using predictive models, experimental design methods, and optimization techniques. This role involves research and development on projects such as real-time online media optimization, sales operation analytics, customer churn scoring and management, customer understanding, product recommendation, and customer lifetime value prediction. This is a co-located hybrid internship, meaning interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located to ensure collaboration and support.

Requirements

Currently enrolled full time and pursuing a Bachelors, Master’s or PhD degree in Computer Science, Computer Engineering; or equivalent experience required 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

Responsibilities

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.