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- Tasks: Dive into cutting-edge research in computer vision and graphics with a mentor.
- Company: Join Adobe, a leader in digital media and creativity, known for innovation.
- Benefits: Enjoy hybrid work, canteen perks, childcare support, and health benefits.
- Why this job: Collaborate with top researchers, enhance your skills, and contribute to impactful projects.
- Qualifications: Current Ph.D. or Master's student in computer science or related field required.
- Other info: Opportunity to shape your thesis while working on real-world problems.
Adobe Researchers are actively working on novel computer vision and graphics problems based on classical paradigms as well as generative models. Our goal is to improve the content creation workflows by providing control, ease of use, and speed to our users. Our research labs are actively publishing in leading journals and conferences, work with product teams on-high-profile features, and explore new product opportunities across various domains. We are especially interested in encouraging ongoing teamwork that extends beyond the internship and become integral to your PhD or Master’s thesis., Under the direction of an Adobe Research mentor you will work on a research problem. In addition to investigating the existing solutions, you will experiment with novel ideas, develop proof of concept demos, and present your findings. During the internship, you will have to opportunity to get along with other interns and researchers inside Adobe as well as get insights about Adobe’s products., Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.
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Eligibility: Candidates with a Ph.D., Master’s degree, or equivalent experience are encouraged to apply.
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Hybrid: 3 days per week in the office, 2 days per week work from home, * Current Ph.D. or Master’s student in computer science, or a related field.
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Sufficient research skills and background in machine learning and diffusion models.
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Strong communication skills and teamwork experience
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Passion for solving real-world problems with web-scale data using and inventing state-of-the-art Machine Learning algorithms.
Work from home
Canteen
Restaurant tickets
Childcare
Company pension
Accessibility
Health in the workplace
Company doctor
Training
Car park
Convenient transport links
Employee benefits
Company car
Mobile device
Profit-sharing
Events for employees
Private internet use
Dogs welcome
Adobe aims to make Adobe.com 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, email accommodations@adobe.com or call (408) 536-3015.
2025 Intern - Research Scientist employer: Adobe
Contact Detail:
Adobe Recruiting Team
+444085363015
accommodations@adobe.com
StudySmarter Expert Advice 🤫
We think this is how you could land 2025 Intern - Research Scientist
✨Tip Number 1
Familiarize yourself with Adobe's current research projects in computer vision and graphics. Understanding their recent publications and innovations will help you engage in meaningful conversations during interviews and demonstrate your genuine interest in their work.
✨Tip Number 2
Showcase your teamwork experience by discussing specific projects where collaboration was key to success. Adobe values ongoing teamwork, so highlighting your ability to work well with others will make you a more attractive candidate.
✨Tip Number 3
Prepare to discuss your experience with machine learning and diffusion models in detail. Be ready to explain how you've applied these concepts in past projects, as this will be crucial for the research problems you'll tackle during the internship.
✨Tip Number 4
Network with current or former Adobe interns and researchers on platforms like LinkedIn. Gaining insights from their experiences can provide you with valuable information about the company culture and expectations, which can help you stand out in the application process.
We think you need these skills to ace 2025 Intern - Research Scientist
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Research Scientist internship at Adobe. Understand the key responsibilities, required skills, and the type of projects you might be working on.
Highlight Relevant Experience: In your CV and cover letter, emphasize your research experience, particularly in machine learning and diffusion models. Mention any relevant projects or publications that showcase your skills and passion for solving real-world problems.
Showcase Communication Skills: Adobe values strong communication skills. In your application, provide examples of how you've effectively communicated complex ideas in past projects or team settings. This could include presentations, collaborative work, or written reports.
Tailor Your Application: Customize your application materials to reflect Adobe's values and the specific requirements of the internship. Use keywords from the job description and demonstrate how your goals align with Adobe's mission to improve content creation workflows.
How to prepare for a job interview at Adobe
✨Showcase Your Research Skills
Be prepared to discuss your previous research experiences in detail. Highlight any projects related to computer vision, machine learning, or generative models, and be ready to explain your methodologies and findings.
✨Demonstrate Teamwork Experience
Adobe values collaboration, so share examples of how you've successfully worked in teams. Discuss any group projects or research collaborations, emphasizing your role and contributions.
✨Communicate Clearly and Effectively
Strong communication skills are essential for this role. Practice explaining complex concepts in a simple way, as you may need to present your ideas to both technical and non-technical audiences.
✨Express Your Passion for Problem-Solving
Convey your enthusiasm for tackling real-world problems using machine learning. Share specific examples of challenges you've faced and how you approached solving them, demonstrating your innovative thinking.