2026 Intern Research Scientist

Adobe

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profile Job Location:

Paris - France

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Our Company

Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.

Were on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization and we know the next big idea could be yours!


Ready to launch your research career in tech

When you join us as an research scientist intern youll dive into real projects that impact the future of our products. This versatile opportunity allows you to work on world-class projects in computer graphics computer vision and machine learning contributing to Adobes ambitious goals of transforming creative industries.

Immerse yourself in an inclusive and collaborative environment where your innovative ideas can thrive and make a tangible impact.

This opportunity is based in Paris Lyon or Clermont-Ferrand with a hybrid schedule (23 days/week onsite). The internship is 6 months long with a start date between January and June 2026.

What youll Do:

  • Explore brand-new research opportunities in computer graphics computer vision or machine learning.
  • Collaborate with a team of proven experts to develop and implement new algorithms and techniques.
  • Publish your findings in top-tier academic conferences and journals.
  • Present your research to both internal teams and external collaborators. Contribute to the development of Adobes next-generation products and services.
  • Engage in brainstorming sessions to determine the most promising research directions.
  • Participate in collaborative projects ensuring the flawless execution of research goals.

What you need to succeed:

  • Currently pursuing a Ph.D. or Masters or equivalent experience in Computer Science or a related field.
  • Strong background in computer graphics or computer vision with solid knowledge in either calculus algorithms machine learning algebra signal processing geometry or physics.
  • Proven track record of research excellence demonstrated by publications in top conferences or journals.
  • Outstanding problem-solving abilities and the capacity to think creatively and ambitiously.
  • Proficient in programming languages such as Python C or similar. Depending on the internship topic GPU programming may be mandatory.
  • Ability to work independently while also excelling in a strictly collaborative team environment.
  • Excellent communication skills to successfully implement and present complex ideas.

What to expect from the recruitment process:

  • Our selection process consists of two stages as follows: 60 minutes Technical Interview with the team.
  • 45 minutes Soft-Skills Interview with the Hiring Manager.

Adobe is proud to be anEqual Employment Opportunityemployer. 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.Learn more.

Adobe aims to make accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process emailor call .


Required Experience:

Intern

Our CompanyChanging the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos...
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Key Skills

  • Robotics
  • Machine Learning
  • Python
  • AI
  • C/C++
  • Data Collection
  • Research Experience
  • Signal Processing
  • Natural Language Processing
  • Computer Vision
  • Deep Learning
  • Tensorflow