Machine Learning Engineer Intern

4 weeks ago


San Francisco, California, United States Adobe Full time
Job Description

We are seeking a highly motivated and talented Machine Learning Engineer Intern to join our team at Adobe. As a Machine Learning Engineer Intern, you will have the opportunity to work on exciting projects that 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.
  • 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

  • Competitive compensation package.
  • Opportunity to work on exciting projects that apply AI and machine learning techniques to big-data problems.
  • Collaborative and dynamic work environment.
  • Professional development opportunities.

How to Apply

If you are a motivated and talented individual who is passionate about machine learning and data science, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter explaining why you are a strong fit for this role.



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