Research Scientist

4 days ago

Noida, India Adobe Full time

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

Adobe Digital Experience Cloud’s mission is to transform how businesses compete through next generation digital experiences. At the Media and Data Science Research (MDSR) lab, we work on fundamental and applied research problems relevant to the Experience Cloud. Our research areas span Computer Vision, Natural Language Understanding and Data Science. We also work on foundational questions related to AI and allied mathematical areas. We publish at top machine learning conferences and work with the product teams to turn our research into impactful product features.

We are looking for researchers with a strong track record of publications in top tier conferences to define and lead research areas that will be transformative for the customers of Adobe’s Experience Cloud. Job responsibilities include developing and leading research areas, publishing in top conferences and journals, working with product teams to turn the research advances to impactful product features and to collaborate with academic labs.

For more information on MDSR follow this link
- Click Here

Desired Qualifications and Skills
- Multiple publications in top tier conferences such as CVPR, ICCV, ICLR, NeurIPS, ICML,KDD, AAMAS, ACL, EMNLP, SIGIR, The Web Conference etc.
- Deep expertise in one or more of the following areas:

- Computer Vision Areas: Image and Video Understanding, Manipulation and Synthesis, Unsupervised Learning, Image and Video Segmentation, Generative Models like GANs, Normalizing Flows, Transfer Learning, Few Shot/Zero Shot Learning, 3D computer vision, Multi-Modal content and Document Understanding, Deep Reinforcement Learning, Graph Neural Networks
- Data Science Areas: Recommender systems, Bandit Theory, Decision Theory, (Deep) Reinforcement Learning, Causal Modelling, Behavioural modelling and analysis, Representation Learning, Multi-Agent Systems, Topological Data Analysis, Model Interpretability and Explainability, Bayesian and statistical Inference
- Natural Language and Text Understanding Areas: Transformers and Large Language Models. Natural Language Understanding, Natural Language Generation, Search and Information Retrieval, Conversational AI and Dialog Systems, Question-Answering Systems, Multi-Modal content and Document Understanding, Knowledge Graphs, Neuro-symbolic reasoning, Natural Language Inference
- Advanced degree (preferably PhD) in Computer Science/Electrical Engineering, Mathematics, Physics or related areas
- Excellent communication skills
- Ability to take research risk and tackle hard problems independently
- For senior positions, we require seven or more years of post-PhD experience

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