Machine Learning Engineer Intern
3 weeks ago
Adobe is seeking a highly motivated and talented Machine Learning Engineer Intern to join our team. As a Machine Learning Engineer Intern, you will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead, and optimize the experience of its customers.
Key Responsibilities:
- Develop predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques.
- Collaborate with product management and engineering groups to develop new products and features.
- Work on research and development of exciting projects like real-time online media optimization, sales operation analytics, customer churn scoring and management, customer understanding, product recommendation, and customer lifetime value prediction.
Requirements:
- Currently enrolled full-time and pursuing a Master's or PhD degree in Computer Science, Computer Engineering, or equivalent experience required with an expected graduation date of 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, relationship skills, and a team player.
Adobe is an equal opportunity employer and welcomes applications from diverse candidates. We offer a competitive compensation package and a dynamic work environment.
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