Search, Discovery and Content AI (SDC) is a critical part of Adobe s Cloud offering. Creative professionals and novice users alike need quick access to their digital assets, libraries, the variety of creative content, and documents they work with every day, from brushes to colors, images, videos and beyond. They need to find and discover what they ve created, the things that have been shared with them, and even search marketplace such as Adobe Stock.
With growing demand for user prompt understanding, providing contextual discovery and perform actions, either explicitly or through an assistant, in Express and other Adobe products, SDC requires GenAI stack built using underlying powerful technologies of Intent understanding, ML/AI powered Discovery and dynamic action orchestration. This is super critical for the business needs, advancing the core capabilities and success of Express users. SDC is the key platform enabling these capabilities and the need is to focus on GenAI. Isn t it excitingBecome part of this growing team at Adobe and have a phenomenal impact by providing search, browse, machine learning and recommendation across the Video assets at Adobe. SDC is at the very core of the service offered to our customers, with multiple languages covered, and millions of users touched every day. The objective is to make search, discovery and GenAI a world class, leading edge, differentiating product in terms of search effectiveness and experience. We match the pace, innovation and excitement of a startup, backed by the resources and infrastructure of Adobe!
Job Description
We are seeking an Applied Research Specialist with a background in Computer Science, Computer Engineering, Graphic Design, or a related field, and profciency in areas such as Mathematical Modeling, Computer Graphics, and Machine Learning.
The Search, Discovery and Content 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 Python and Java 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 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:
A PhD / master s/bachelors degree in a relevant field.
8-14 years of relevant industry experience.
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.
Proficiency in programming languages such as Java (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.
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