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
The Research Engineering & Design Lab within Adobe Research is looking for a Research Scientist/Engineer with a passion for the unique challenges involved in the development of high-performance ML models, with a particular focus on optimizing the resource consumption of large-scale generative models, including for cloud and on-device deployment. Join our efforts to turn cutting-edge research into new products and features in Adobe's web, desktop and mobile applications, and expand what's possible in tools for creative expression.
What you'll do
At Adobe Research, you will work closely with both scientists and engineers to ensure that new technologies being developed for image processing, audio, video, animation, 3D and vector graphics will run efficiently in-cloud and on a variety of platforms. You'll help adapt models and algorithms to the limitations of different systems and devices. You will have the opportunity to:
Play a key collaborative role in ambitious research projects
Be valued as a specialist in your domain of expertise
Build innovative software that enables users to explore their creative potential
Contribute to existing Adobe tools as well as completely new applications
Impact products that are used by millions of people
Learn from your peers and grow into new opportunities
What you need to succeed
Passion for model optimization/compression and high-performance computing
Solid deep learning skills, including practical experience in computer vision/natural language processing
Experience in improving the efficiency of mid- to large-scale ML models
Software engineering expertise
Proficiency with Python and ML libraries like PyTorch, TensorFlow, JAX, or similar
Strong communication and collaboration skills
Ph.D. or Master's degree in Computer Science or a related field is preferred, or 3 years of industry experience in ML performance optimization, or equivalent practical experience
Additional Desirable Qualifications
- Knowledge of state-of-the-art machine learning methods for large scale diffusion/language models
- Experience on diffusion model optimization, neural network pruning/knowledge distillation/quantization/architecture search, sub-quadratic attention optimization, efficient architecture design and on-device ML
- Experience running ML models within a deployment environment (using TensorRT, AITemplate, CoreML, WinML, TensorFlow Lite, ONNXRuntime or similar)
- Hands-on experience in designing ML models to work between different platforms (Cloud, mobile, in-browser, etc.)
- Knowledge of design techniques for mobile-friendly ML models
- Proficiency with C++
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 $129,400 -- $242,200 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 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.
