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2025 Intern - AI/ML Applied Research Scientist

extra holidays - extra parental leave - fully flexible - 4 day week
Remote: 
Hybrid
Contract: 
Salary: 
86 - 117K yearly
Experience: 
Entry-level / graduate
Work from: 
San Jose (US)

Offer summary

Qualifications:

Currently enrolled in a PhD program, Experience in machine learning and statistics, Knowledge of Python, PyTorch or TensorFlow, Familiar with ML development lifecycle.

Key responsabilities:

  • Design and build ML models
  • Contribute to applied research for product development
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Adobe Computer Software / SaaS Large http://www.adobe.com
10001 Employees
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Job description

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 

We’re 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!


 

Position: 2025 University Graduate – Applied Research Scientist

Req ID: R149638

Business Unit: Digital Imaging

Location: San Jose

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands— everything they need to design and deliver exceptional digital experiences. We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re 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.

The Opportunity

You will join a highly collaborative team of data scientists and engineers, research scientists, and ML engineers, working closely with the internal product teams. Your primary role will be to design and build various ML models and pipelines integrated into digital imaging products, including Photoshop desktop, web, and mobile. We are looking for someone who has a diligent demeanor, invites constructive discussion, naturally strives to be a good teammate, and always works with a bias towards action. Your work will be grounded in ML model productization, validated in meticulous experimentation, and pushing the boundaries of coordinated product strategy. This individual will work within a fast-paced, agile environment with a customer-focused research and engineering team. In this position, you will play a key role in productizing research ideas to build "Adobe Magic" in Photoshop and digital imaging applications.

What You’ll Do

  • Work towards results-oriented research goals, while identifying intermediate achievements.

  • Contribute to applied research that can be applied to Adobe product development.

  • Explore and lead innovative imaging technology for Adobe customers

  • Help integrate novel research work into Adobe’s product.

  • Lead and collaborate on applied research projects across different Adobe divisions

  • Collaborate with engineers and participate in daily or weekly stand ups and meetings.

  • Work both independently and collaboratively within a fast-paced development team, with clear, positive, and constructive communication.

What You Need to Succeed

  • Currently enrolled full time and pursuing a PhD degree in machine learning, AI, computer science, statistics; or equivalent experience required

  • Experience and demonstrable knowledge of Visual Foundation Models (Transformers, Diffusions) Multimodal Language Model (Text to Image, Image to Text), encompassing their evaluation metrics, challenges in productization, and familiarity with common frameworks and methodologies

  • Be able to evaluate, improve, or develop advance machine learning algorithms for complex use cases

  • Experience working in teams.

  • Knowledge in a programming language (Python, PyTorch, TensorFlow, etc)

  • Familiar with the ML development lifecycle – data acquisition and annotation, ML model design and implementation, ML model evaluation and deployment

  • Excellent verbal and written communication skills; can effectively articulate complex ideas and influence others through well-reasoned explanations.

  • Ability to participate in a full-time internship between May-September

Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 -- $61.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. 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 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.

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.

Required profile

Experience

Level of experience: Entry-level / graduate
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Teamwork
  • Communication

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