2026 University Graduate - Machine Learning Engineer

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

Adobe is looking for a Machine Learning Engineer who will apply AI and machine learning techniques to large-scale visual and multimodal data to help shape the future of creativity. Partnering with research and product teams, the candidate will build innovative products that push the boundaries of generative AI for images, video, and multimodal experiences—empowering creators to bring their ideas to life in entirely new ways.

By leveraging advanced deep learning architectures, generative modeling techniques, and optimization methods, the candidate will contribute to the research and development of foundational generation models, video editing and inpainting, image-to-video synthesis, multimodal storytelling, and real-time creative AI workflows. Work will also involve developing robust evaluation models and curating high-quality datasets to support large-scale model training and benchmarking.

Ideal candidates will have a strong academic background, software engineering skills, and expertise in deep learning and generative modeling. A track record of impactful research demonstrated through publications in top-tier conferences such as CVPR, ICCV, or NeurIPS is highly valued. Proficiency in the modern software stack for modeling—such as Python and PyTorch—is expected, and familiarity with evaluation frameworks and data curation pipelines is a strong plus.

What You’ll Do 

• Develop state-of-the-art generative models for images, video, and multimodal content using advanced deep learning architectures, computer vision, and generative modeling techniques. 
• Design, implement, and optimize scalable modeling, evaluation, and data curation pipelines that enable training and deployment of high-quality generative models in production. 
• Collaborate with research, product, and engineering teams to prototype and deliver innovative creative AI features for Adobe’s next-generation tools.

What You Need to Succeed 

• PhD or MS degree in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, or a related field, or equivalent experience.
• 0–2+ years of research or industry experience in relevant areas.
• Deep understanding of modern computer vision, machine learning, and generative modeling techniques (e.g., diffusion models, transformers, VAEs, GANs) with a track record of solving challenging problems.
• Proficient in one or more programming languages such as Python or C++.
• Experience with state-of-the-art machine learning frameworks such as PyTorch, JAX, or TensorFlow, and libraries such as scikit-learn.
• Familiarity with evaluation methodologies, benchmark dataset creation, and data curation pipelines for generative models.
• Strong analytical, problem-solving, and quantitative reasoning skills.
• Excellent communication skills, collaborative mindset, and ability to work effectively in cross-functional teams.

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.

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 $120,700 -- $228,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans.  Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

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

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Adobe is proud to be an Equal Employment Opportunity 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.