Research Engineer

The Opportunity The Research Engineering & Design Lab within Adobe Research is looking for a Research 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 DoAt Adobe Research, you will work closely with both scientists and engineers to ensure that new technologies being developed for generative AI models, 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 tool 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 tens of 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

Knowledgeable about the current state of the art in ML efficiency

Experience in improving the efficiency of mid- to large-scale ML models

Software engineering expertise

Proficiency with Python and ML libraries like PyTorch, Tensor Flow, JAX, or similar

Strong communication and collaboration skills

Ph.D. /Master's degree in Computer Science or a related field, or 3 years of industry experience

Additional Desirable Qualifications Knowledge of state-of-the-art machine learning methods for large scale multimodal 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 with sparse mixture of experts and related techniques

Experience running ML models within a deployment environment (using TensorRT, AITemplate, CoreML, WinML, Tensor Flow Lite, ONNXRuntime or similar)
Hands-on experience in designing ML models between different platforms (Cloud, mobile, in-browser, etc.)Knowledge of design techniques for mobile-friendly ML models

Proficiency with C++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

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