Research Scientist/Engineer 5.5

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!

Adobe Research is seeking a Research Scientist in computer graphics, computer vision and machine learning to join the Graphics and 3D Imaging Research organization with offices based in North America (San Jose, San Francisco and Seattle), London and Paris. This is an exciting opportunity to imagine and build the creative tools of the future! You will be working with a world-class team of research scientists and engineers to invent algorithms for hard research problems, and incorporate these algorithms into Adobe products, thus putting your work in the hands of millions of creative artists and designers. Our lab encourages publication of research ideas and supports collaborative research efforts with academic institutions. Our internship program provides an influx of new ideas, making our lab an exciting place for technical growth.

What you will do
• Research problems in computer graphics, computer vision, and machine learning, with a focus on developing generative AI methods that connect vector graphics and raster images for content creation and editing.
• Collaborate with other researchers at Adobe to invent state-of-the-art algorithms for these problems
• Patent these algorithms and publish them at the premier computer graphics, vision and machine learning venues.
• Build and iterate over functional prototypes of these algorithms
• Collaborate with product groups to integrate these prototypes into Adobe's products.

What you will need to succeed
• Ph.D. in Computer Science or a related technical field, with a focus on computer graphics, computer vision and/or machine learning
• Expertise in one or more of the following areas: generative models for content synthesis, deep neural networks, vector graphics, image processing
• A strong personal research track record including peer-reviewed publications in top computer vision, graphics, and machine learning venues.
• Strong Python and deep learning development skills and experience with one or more training or deployment environments (PyTorch, Tensorflow)
• Experience with design of high-level APIs and frameworks
• Expertise in optimizing and deploying machine learning models on device
• Basic knowledge of C++
• A passion for building creative tools with delightful user experiences
• Strong verbal and written communication skills

Welcome expertise
• Familiarity with 2D content creation tools (e.g., Illustrator, Photoshop, Lightroom, etc.)
• Strong C++ development skills

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 $182,900 -- $334,500 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.

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

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