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!
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 craft 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 building 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!
Job Description
Excited by AI/ML? Interested in creating new innovative solutions using Machine Learning.
The Document Cloud team is creating PDF solutions spanning all surfaces - Web, Mobile, Desktop and Platform APIs, that processes billions of PDFs every month using ML, Deep-Learning and Generative AI at its core.
As a part of this, we need experienced individuals focusing on research and development of methods for processing huge amount of content, and can build mashups of Vision, Image Processing, NLP, generative models to solve complex problems.
What you get to do in this role:
Develop algorithms that apply deep learning and state of the art methods in NLP & computer vision, combined with traditional large sophisticated solutions/codebases.
Create experiments, algorithms and ship solution that not only yield high accuracy but are also designed and engineered to scale.
Collaborate across multiple research and engineering disciplines, making the tradeoffs required to rapidly deliver AI/ML software solutions.
In order to be successful, we need someone who has:
B. Tech / MCA in Computer Science or related fields. MS/PhD preferred.
5 - 8 years hands-on experience in either deep-learning models, Image processing, Vision and/or NLP.
Ability to write efficient, clean, and reusable code in Python. Knowledge of C++ is preferred.
Broad Machine Learning experience – Data, Modelling, Metric, Analysis of Results.
Experience in using TensorFlow or PyTorch.
Exposure to Deep Learning - CNNs, LSTMs, Transformers, network architecture, network tuning, transfer learning, multi-task learning.
Exposure in building solutions from scratch and writing maintainable code inside large existing codebases.
Strong software development skills that encourage code reuse among engineers and researchers.
Why Adobe?
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
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.
