2026 AI/ML Intern - Machine Learning Engineer: Adobe

This internship is not necessarily focused on Adobe's flashy generative AI tools (like Firefly image generation). The description specifically highlights "Sales operation analytics," "Customer churn scoring," and "Customer lifetime value prediction."

This indicates you will be working on Enterprise AI and Business Intelligence—using ML to optimize Adobe's internal business operations and customer retention strategies rather than building consumer-facing creative tools.

Key Responsibilities
Predictive Modeling: Build models to predict customer behavior (churn, purchasing likelihood) using large-scale datasets.

Production Deployment: Develop algorithms that are efficient enough to run in production systems (not just research notebooks).

Stack Usage: Apply statistical modeling using Python, R, or Matlab.

Qualifications
Education Status: You must be currently enrolled in a Master’s or PhD program.

Graduation Date: You must be graduating between December 2026 and June 2027. (Strict criteria).

Technical Skills:

Languages: Python, Java, C.

Tools: scikit-learn, R, Matlab.

Concepts: Deep Learning, Statistical Modeling.

Workforce Diversity Statistics (Adobe)
According to Adobe’s 2024 Corporate Social Responsibility Report, the demographic breakdown of their U.S. workforce is as follows:

U.S. Workforce by Race/Ethnicity:

White: 52.5%

Asian: 30.7%

Hispanic / Latinx: 5.6%

Black / African American: 3.1%

Two or More Races: 2.6%

Native American / Pacific Islander: <1%

Global Gender Representation:

Men: 64.6%

Women: 34.6%

Adobe actively recruits from HBCUs (Historically Black Colleges and Universities) and HSIs (Hispanic-Serving Institutions) for their intern programs to address representation gaps, particularly in engineering.

Compensation & ROI
Hourly: $45 - $55/hr.

Total Internship Earnings: For a standard 12-week internship, you can expect to earn between $21,600 and $26,400 gross.

Conversion: High-performing interns are the primary pipeline for Adobe’s full-time "New College Graduate" (NCG) roles.

Strategic Insight for Interviews
Since the role mentions "Customer Churn" and "Lifetime Value," the interview will likely focus on Tabular Data rather than Computer Vision.