2026 AI/ML Intern - Machine Learning Engineer
Job Description
Position Overview
Changing the world through digital experiences is what Adobe’s all about. We empower emerging artists to global brands with the tools to design and deliver exceptional digital experiences. Adobe is on a mission to hire the very best and create exceptional employee experiences where everyone is respected and has access to equal opportunity.
In this role, you will join as a Machine Learning intern applying AI and machine learning techniques to big-data problems—helping Adobe to better understand, lead, and optimize customer experiences. You will work on exciting projects including real-time online media optimization, sales operation analytics, customer churn scoring, product recommendation, and customer lifetime value prediction. Interns will be co-located in a hybrid setting, working both from their assigned office and home.
Compensation: The U.S. hourly pay range for this position is $45.00 – $55.00. Specific pay rate details will be provided during the hiring process.
Key Responsibilities
- Develop predictive models on large-scale datasets to address various business problems using statistical modeling, machine learning, and analytics techniques.
- Develop and implement scalable, efficient, and interpretable modeling algorithms suitable for production systems.
- Collaborate with product management and engineering teams to design and launch new products and features.
Required Qualifications
- Currently enrolled full-time in a Master’s or PhD program in Computer Science, Computer Engineering, or a related field with an expected graduation date between December 2026 and 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, or C.
- Familiar with machine learning or statistical modeling tools like R, Matlab, or scikit-learn.
- Strong analytical and quantitative problem-solving skills.
- Excellent communication, relationship skills, and a team player attitude.
- Availability for a full-time internship between May and September.