2025 Intern - Machine Learning Engineer

$114,400 - $114,400/Yr

Adobe - San Francisco, CA

Full-time - Intern

San Francisco, CA

Publishing Industries

About the position

The 2025 Intern - Machine Learning Engineer position at Adobe is designed for students pursuing advanced degrees in computer science or related fields. The intern will apply AI and machine learning techniques to big-data problems, contributing to projects that enhance customer experiences through predictive modeling and analytics. This role offers a unique opportunity to work on real-time media optimization, customer churn management, and product recommendations, all while collaborating with cross-functional teams in a hybrid work environment.

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 that can work with large-scale data in production systems.
• Collaborate with product management and engineering groups to develop new products and features.

Requirements

• Currently enrolled full time and pursuing a Master's or PhD degree in Computer Science, Computer Engineering, or equivalent experience with an expected graduation date of December 2025 - June 2026.
• 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 and relationship skills, and a team player.
• Ability to participate in a full-time internship between May-September.

Benefits

• Competitive hourly pay ranging from $45.00 to $55.00 based on geographic market.
• Hybrid work environment allowing flexibility between office and home.