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Machine Learning Engineer Internship

2 months ago

Austin, Texas, United States Adobe Full time
About the Opportunity

We are seeking a highly motivated and talented Machine Learning intern to join our team at Adobe. As a Machine Learning intern, you will have the opportunity to apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead, and optimize the experience of its customers.

Our team is responsible for developing and implementing scalable, efficient, and interpretable modeling algorithms that can work with large-scale data in production systems. You will work closely with product management and engineering groups to develop new products and features.

Key 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 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 and September.
What We Offer

We offer a competitive hourly rate of $55.00, and our compensation reflects the cost of labor across several U.S. geographic markets. We are an equal employment opportunity and affirmative action employer, and we do not discriminate based on gender, race, or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.