Machine Learning Intern
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Job Description
About Adobe
Adobe is a company that focuses on empowering individuals and businesses to create exceptional digital experiences. They provide tools for designing and delivering these experiences, catering to both emerging artists and global brands. Adobe is passionate about enabling creativity through images, videos, and apps, and is committed to transforming how companies interact with customers across various platforms. They believe in hiring the best talent and fostering an inclusive environment where everyone is respected and has equal opportunities. Adobe acknowledges that innovative ideas can emerge from anywhere within the organization and encourages employees to contribute their own unique perspectives.
Job Description: Machine Learning Intern
Adobe is seeking a Machine Learning intern to leverage AI and machine learning techniques for solving big-data problems. The intern will contribute to enhancing customer experiences through predictive models, experimental design methods, and optimization techniques. This role involves research and development on projects like real-time online media optimization, sales operation analytics, customer churn scoring and management, customer understanding, product recommendation, and customer lifetime value prediction.
Key Responsibilities:
• Develop predictive models using large-scale datasets to address various business problems, utilizing statistical modeling, machine learning, and analytics techniques.
• Design and implement scalable, efficient, and interpretable modeling algorithms capable of handling large-scale data in production systems.
• Collaborate with product management and engineering teams to develop new products and features.
Required Qualifications:
• Currently enrolled in a Master’s or PhD program in Computer Science, Computer Engineering, or a related field with an expected graduation date between December 2025 and June 2026.
• Strong understanding of statistical modeling, machine learning, deep learning, or data analytics concepts.
• Proficiency in programming languages such as Python, Java, and C.
• Familiarity with machine learning or statistical modeling tools like R, Matlab, and scikit-learn.
• Excellent analytical and quantitative problem-solving abilities.
• Strong communication, relationship-building skills, and a team-oriented approach.
• Ability to participate in a full-time internship from May to September.
Compensation:
The U.S. pay range for this internship is $45.00 – $55.00 hourly. The specific pay rate will be communicated during the hiring process based on the job location.
