Applied Research Specialist

10 Months ago • 2-4 Years

Job Summary

Job Description

Applied Research Specialist at Adobe focusing on generative AI for graphics and design. Requires strong background in mathematics, computer graphics, and machine learning.
Must have:
  • Mathematics Background
  • Computer Graphics
  • Machine Learning
  • C++ Programming
Good to have:
  • Tensor/PyTorch
  • Model Deployment
  • Computational Geometry
  • Publication Record
Perks:
  • Exceptional Experiences
  • Equal Opportunity

Job Details

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 vision for our Applied Research team is to transform cutting-edge theoretical concepts, especially in the realm of generative AI, into tangible, innovative applications that solve real-world problems. This team is dedicated to bridging the gap between research and practical implementation, harnessing advancements in machine learning, computer graphics, and AI to deliver state-of-the-art solutions. Our goal is to continually evolve and adapt, ensuring that our applications not only meet current industry standards but also anticipate and shape future trends. By focusing on the practical application of groundbreaking research, our team will play a pivotal role in bringing revolutionary technologies to the market, enhancing user experiences.

Job Description
We are seeking an Applied Research Specialist with a background in Computer Science, Computer Engineering, Graphic Design, or a related field, and proficiency in areas such as Mathematical Modeling, Computer Graphics, and Machine Learning.

What you'll Do
The Applied Research Team will work at the forefront of applying cutting-edge technologies in practical and user-centric applications. Their primary focus will be on implementing and optimizing generative AI solutions for a range of applications in graphics and design. This includes the development of sophisticated image processing techniques and the enhancement of human-computer interaction interfaces using machine learning algorithms. They will also be deeply involved in programming with languages like C++ and Python to develop robust, production-level software.
The team will utilize machine learning frameworks such as TensorFlow and PyTorch, not only for model development but also for converting and deploying these models efficiently in production environments. Their work will be vital in transforming theoretical AI advancements into accessible,efficient, and impactful applications, constantly iterating, and improving upon them to meet evolving user needs and industry standards.
Moreover, they will delve into computational geometry to enhance and innovate in 3D modeling and animation, ensuring a strong integration of mathematical modeling within these areas. The overarching goal is to push the boundaries of these technologies, driving forward the capabilities of AI and its application in real-world scenarios.

What you’ll need:
  • 2-4 years of strong industry experience.
  • A PhD or at least a master’s degree in a relevant field.
  • Strong background in mathematics, particularly in areas relevant to graphics like linear algebra, geometry, and numerical methods.
  • Courses or experience in computer graphics, image processing, human-computer interaction, machine learning, or similar areas relevant to Illustrator.
  • Proficiency in programming languages such as C++ (for in-product work) or Python (for machine learning model side work) at a production level.
  • Experience with shipping products to production.
  • Knowledge of machine learning and AI techniques, especially as they apply to graphics and design.
  • Experience with Tensor/PyTorch, model conversion, and deploying models to production.
  • Publication record in peer-reviewed journals or conferences is preferable, not mandatory.
  • Ability to optimize algorithms for performance, especially in the context of real time applications.
  • Strong problem-solving skills with the ability to tackle complex problems and innovate new solutions.
Adobe
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 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.

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