Research Scientist​/Engineer - Photoshop

Research Scientist

Our company is changing the world through digital experiences. 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 craft 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 building 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 Photoshop ART is seeking a Research Scientist to join our in painting R&D team focused on making significant progress in image generation/restoration, low level vision, image editing with an eventual posture toward productization. Individuals in this role are expected to be expert in identified research areas such as artificial intelligence, machine learning, computer vision, and image processing. Strong preference will be given to candidates with experience in light transport, image formation, or physically based rendering, and in leveraging synthetic 3D scene data for training or analyzing learning-based models.

This includes work on scene relighting, illumination transfer, harmonization, or appearance editing, as well as familiarity with generating or using simulated data to improve model cont rollability and realism with an eye toward productization. The ideal candidate will have a keen interest in producing new science to advance Adobe products.

What You'll Do

• Work towards long-term results-oriented research goals, while identifying intermediate achievements.
• Contribute to research that can be applied to Adobe product development.
• Help integrating novel research work into Adobe's product.
• Lead and collaborate on research projects across different Adobe divisions.

What You Need To Succeed

• Ph.D. and solid publications in machine learning, AI, computer science, statistics, or scene semantic understanding.
• Experience communicating research for public audiences of peers.
• Experience working in teams.
• Knowledge in a programming language.

Preferred Qualification

• 1+ years of professional full-time experience preferred, but not required
• 2+ year(s) of internship with primary emphasis on AI research in image generation, low level vision, image restoration, and segmentation
• Experience in collaboration with a team with varied strengths.
• 4+ First-author publications at peer-reviewed AI conferences (e.g. NIPS, CVPR, ECCV, ICML, ICLR, ICCV, and ACL).
• Experience in developing and debugging in Python.

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 Gen Studio 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 values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

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 protected…