Adobe - San Jose, CA

posted 2 months ago

Full-time - Intern
San Jose, CA
Publishing Industries

About the position

Adobe is looking for a Machine Learning intern who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead, and optimize the experience of its customers. The intern will engage in research and development of exciting projects such as real-time online media optimization, sales operation analytics, customer churn scoring and management, customer understanding, product recommendation, and customer lifetime value prediction. This role is designed for individuals who are passionate about leveraging data to drive insights and improve customer experiences. The internship will be co-located hybrid, meaning that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, ensuring they receive the most support for collaboration and the best employee experience. The frequency of office attendance will be determined by the managers and their organization based on project priorities. As a Machine Learning intern, you will develop predictive models on large-scale datasets to address various business problems using statistical modeling, machine learning, and analytics techniques. You will also be responsible for developing and implementing scalable, efficient, and interpretable modeling algorithms that can work with large-scale data in production systems. Collaboration with product management and engineering groups will be essential to develop new products and features that enhance Adobe's offerings.

Responsibilities

  • Develop predictive models on large-scale datasets to address various business problems with 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 required 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, relationship skills, and a team player.
  • Ability to participate in a full-time internship between May-September.

Benefits

  • Competitive hourly compensation ranging from $45.00 to $55.00 based on geographic market.
  • Exceptional work environment recognized globally.
  • Ongoing feedback and support through Adobe's unique Check-In approach.
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