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We are looking for a Research Intern.
Research Intern in the challenging areas of multimodal foundation models with application to a wide variety of business use-cases such as multimodal alignment, question answering, and information extraction. The research will also include concrete tasks such as document understanding, layout analysis, text extraction, image understanding, and data synthesis.
Role and Responsibilities :
If youre a student interested in the fields of machine learning, deep learning, and computer vision, and youre looking to come to a summer intern position where you will do research with academic and industrial impact, then this position is for you!
Our team develops technologies, models, algorithms, and software that make an impact on our products and on the world, and we publish papers and issue patents based on the work we do.
This internship involves solving a real-world problems using cutting edge deep learning/machine learning methods, with the aim to advance the state of the art in the domain of document understanding. Document understanding is the ability to read documents, understand their structure and content and act upon it. This is a crucial technology as business documents are key to the day-to-day operation of organizations.
Document understanding remains a research challenge that requires a multi-disciplinary perspective, spanning textual analysis, visual comprehension, layout understanding, knowledge representation, data mining and more. The areas we are looking at include also multimodal and foundation models, image understanding, and data synthesis.
To achieve the internship goal, you will collaborate with fellow team members and have access to nearly limitless compute power (GPU). The research topics for this internship include, novel self-supervised learning techniques, realistic data synthesis, Vision and Language multimodal research, and more.
The results of the project aim to include a publication in a top AI conference and development of a prototype demonstrating new AI functionality.
Succeeding in these tasks is expected to make an important impact on the research community in these exciting fields and lead to strong publications in a leading CV venue (e.g. CVPR / ICLR / ICCV).

Research is looking for a student to join our Intelligent Automation group.
At our group were developing the next generation of No code UI Automation.
These new generation of software can be taught to perform tasks without any programming.
Instead, they collaborate and interact with users, watch, and understand how they perform their tasks, and transform these understanding into automation code.
These capabilities are powered by LLMs and transformers models that support combination of natural language, vision, and semantic understanding tasks.
Your Role and Responsibilities:
We are seeking a student to join our Intelligent Automation research team and contribute to our ambitious innovation efforts. As a student you will be responsible to develop and adapt state of the art LLMs and Transformers. Your job will include conducting research, preparing datasets, training models, and demonstrating the use of the models in prototypes of No-code UI Automation platforms.

we are looking for a Industrial Engineering and Management Student
Your role:

Support of the management team in the international region supply chain with insights and analytics in the following areas (not exhaustive):
Creating analysis of inventory on hand, identifying problem areas, preparing insights for managerial decision
Preparing analysis of the timely delivery of the materials to customers, providing insights for decision
Developing forecasting models for specific materials
Working with a wide group of international team members across the globe (remote connection) as well as with the local Haifa team

As a Control Engineer student, you will be part of a team developing and deploying cutting-edge control algorithms, mathematical models, and state estimation techniques for Autonomous Vehicle Control. The position is designed to offer hands-on experience in solving complex problems and optimizing solutions for real-world autonomous driving applications. Responsibilities: Development and Deployment:
* Assist in the design and implementation of state-of-the-art control algorithms for autonomous driving.
* Contribute to the development of mathematical models to simulate and assess vehicle performance in real-world scenarios.
* Support the creation and refinement of state estimation algorithms using inertial sensors.
* Engage in the optimization of solutions to complex autonomous driving challenges. Collaboration and Learning:
* Work closely with senior engineers across multiple disciplines, including perception, system integration, and machine learning, to ensure the seamless integration of algorithms.
* Participate in system-level testing and experiments to validate algorithm performance.