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2027 Intern - Applied and Research Scientist/EngineerAdobe • Cambridge
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2027 Intern - Applied and Research Scientist/Engineer

2027 Intern - Applied and Research Scientist/Engineer

Adobe • Cambridge
5 days ago
Job type
  • Full-time
Job description

The Opportunity

Adobe Researchers and Applied Scientists are building the next generation of advanced technologies and user experiences, creating new forms of creativity, freeing people from routine tasks, and helping enterprises understand and act quickly on customer and business insights. Our teams publish in leading journals and conferences, partner with product teams to ship high-profile features, and explore new product opportunities across a wide range of domains. We foster collaborations that extend beyond the internship, whether that means contributing to your PhD thesis or seeing your work carried into a shipped product.

All 2027 Adobe interns will be co-located and hybrid. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.

Adobe Research focuses on the following research areas:

  • Audio
  • Computer Vision and Imaging & Video
  • Content Intelligence
  • Document Intelligence
  • Data Intelligence
  • Graphics (2D&3D)
  • Systems, Models & Languages
  • Intelligent Agents & Assistants
  • Natural Language Processing
  • Human Computer Interaction

Under the direction of an Adobe mentor, you will:

  • Pursue a research problem to apply to Adobe's products, with the possibility of academic publication or direct product integration
  • Develop new algorithms, run experiments, and produce demonstration prototypes
  • Depending on project focus, contribute to translating research into working models, pipelines, or product-facing features
  • Document and present your work, both verbally and in writing

What you need to succeed

  • Current PhD or master's student in computer science, or related field (exceptional undergraduates will also be considered)
  • Ability to scope or formulate a research question, design an appropriate baseline and evaluation methodology, and reason about ML/statistical fundamentals
  • Strong communication skills and teamwork experience
  • Comfort working across the spectrum from open-ended research to applied, product-facing development, according to project specifications

Preferred Qualifications

  • Relevant publications or research contributions at leading venues such as NeurIPS, ICML, ICLR, CVPR, or ACL
  • Ability to balance exploratory thinking with delivering clear, practical results
  • Passion for solving real-world problems with web-scale data, using and inventing innovative Machine Learning algorithms
  • Demonstrates ownership, adaptability, and clear communication of your own work and its limitations.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.


Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.


Let’s Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our , , , comprehensive , the , the we serve, and how you can help us advance our mission of empowering everyone to create.


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2027 Intern - Applied and Research Scientist/Engineer • Cambridge