דרושים » תוכנה » senior deep learning Research Engineer

we are seeking a senior deep learning researcher for an excellent opportunity! this role provides an outstanding opportunity to engage in groundbreaking innovation and contribute to advancing diffusion-based technologies. you will work with pioneering methodologies and tools, crafting solutions that push the boundaries of ai capabilities. 
joining our company means being part of a phenomenal team renowned for its inventions, such as our company cosmos, llama-nemotron, sana, and contributing to impactful work that influences various applications. we offer a collaborative environment that fosters professional growth. you will have the opportunity to collaborate with some of the brightest minds in the field, both within our company's global network and with leading companies worldwide, making this role perfect for those passionate about advancing ai technology and eager to make a significant impact on the future of the field. 
what you'll be doing:
invent and build ground-breaking techniques for efficient multi-modality model creation and publish the findings in leading journals and conferences.
combine traditional diffusion technologies with the latest and greatest llms.
contribute to our company's ai enterprise software to ensure robust and scalable solutions.
collaborate with internal and external teams worldwide to drive research and development in multi-modal learning, using different professions and resources across the company.
partner with leading scientific organizations and industry pioneers to remain at the forefront of technological advancements and integrate the latest innovations into practical applications.

Required Deep Learning Algorithm Developer - ADAS group
Description
As part of the algorithm team for the next generation of autonomous driving, you will:
Responsibilities
Understand deeply, implement, train, and evaluate recent state-of-the-art algorithms in computer vision (e.g., object detection, semantic segmentation, self-supervised learning, vision transformers) for various domains.
Adapt algorithms into robust and scalable production-ready algorithms. Write clean and efficient code, ensuring compatibility with existing systems and frameworks, and real-time needs. Take full responsibility for your algorithms end-to-end until deployment on the edge device for production.
Develop and implement new computer vision algorithms (architectures, loss functions, post-processing, training, and evaluation methods) that surpass SOTA algorithms and achieve desired performance levels in our domain.

We are looking for a deep learning engineer experienced with computer vision to join our DL algorithms Team. We are dealing with a variety of tasks such as regression, segmentation, classification and detection while editing millions of images every week for professionals, and holding tens of millions edited images by professionals used as datasets.
Responsibilities
Design, development and bring to production novel, robust and efficient deep learning algorithms in the field of computer vision.
Create proofs of concept for new products and technology.
Evaluate and benchmark different algorithms for unique, proprietary datasets.
Collaborate with team members to define future technology and features.

Required Deep Learning Researcher
About the Role:
Our algorithms team is responsible for all of the deep learning and computer vision challenges the company is facing, tackling complex real-world problems that directly affect the companys success. Youd be joining a team of experienced researchers leading the research and implementation of our algorithmic engine analyzing large streams of visual data from construction sites, together with 3D models.
What you'll do:
Research and design deep learning solutions for different computer vision problems, using tremendous amounts of visual and 3D data to meet unmatched accuracy and reliability demands.
Own the complete research cycle, from requirements to design, implementation, and benchmarking, producing innovative solutions for core company problems.
Be part of a vibrant team of bright and experienced engineers bringing the construction industry into the digital age.