Inactive
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Adobe

Subscription software for content, marketing, documents

Applied Scientist Intern - Applied Scientist

Applied Machine LearningPosted on May 2
Internship · Summer 2026, Fall 2026San Jose, CA, USA$45 - $61 /hr

About the Job

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 2026 – June 2027.
  • 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.

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.

About the Company

Adobe

Subscription software for content, marketing, documents

Adobe provides software for content creation, marketing, and document management. Its products run on a subscription model and are delivered through cloud-based Creative Cloud, Experience Cloud, and Document Cloud, allowing users to access and manage a wide range of tools from one ecosystem. The company differentiates itself by offering a broad, integrated platform that spans creative work, marketing automation, and document workflows, rather than focusing on a single niche. Its goal is to help individuals and organizations produce content, run personalized digital experiences, and securely manage documents at scale.

Company size
10,001+
Company stage
IPO
Headquarters
San Jose, CA
Founded
1994

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