לוח משרות דרושים Deep learning researcher במרכז

We are a pioneering force in the autonomous vehicles (av) industry. join us to build the brain behind the car - a large-scale, multi-task neural network that powers the core of our autonomous stack. youll design and train cutting-edge deep learning models tailored for our custom eyeq chip, tackling end-to-end challenges and deploying real-world solutions. from novel architectures and advanced training techniques to performance tuning under tight constraints, youll work closely with software and hardware teams to turn research into high-impact, production-ready systems. if youre a brilliant, hands-on researcher with a passion for shaping the future - this is your launchpad.
why us?
our team is at the forefront of our most advanced ai efforts.
as a central hub for deep learning innovation, were trusted with designing the core neural network architecture that powers the companys flagship products.
if youre seeking a high-impact role among top-tier researchers and developers - this is the place to be.

we are looking for an experienced deep learning algorithm researcher with a strong focus on reinforcement learning to join the CTO group.
our CTO group is a small, elite research and development group responsible for shaping the next generation of algorithmic solutions powering our autonomous driving systems, crowd-sourced hd maps, and advanced driver-assistance technologies. the role focuses on building a learning-based planning system that has never been deployed at this scale before, leveraging reinforcement learning to address complex, interactive driving scenarios. you will work on policy decision making that provides a holistic, system -level view of autonomous behavior, while tackling a deeply challenging technological problem- taking ideas from research to real vehicles, developing algorithms, retraining models, validating results, and seeing the impact on the road within short development cycles. this is a unique opportunity to take part in early-stage, high-impact projects, develop proof-of-concepts using cutting-edge technologies, and influence our long-term technological direction. what will your job look like:
develop and optimize reinforcement learning-based planning algorithms, including network architectures, reward design, and training processes.
apply rl to complex, interactive driving scenarios, complementing classical planning where deterministic approaches fall short.
work with large-scale simulation environments to enable learning through interaction and diverse policy behaviors.
prototype algorithms in Python and migrate performance-critical components to efficient C ++ / gpu-accelerated implementations.
take part in fast, iterative development cycles, collaborating closely with the CTO and the team to validate ideas and demonstrate working solutions.

we are a global leader in autonomous vehicle (av) technology, pioneering advanced driver-assistance systems (adas) and self-driving solutions. across the company, senior deep learning algorithm developers work at the forefront of av/adas innovation - designing, training, and optimizing deep neural networks for tasks such as perception, mapping, and scene understanding. this includes working with large-scale datasets, leveraging frameworks like pytorch or tensorflow, and applying state-of-the-art techniques to tackle complex perception and decision-making challenges in real-world driving scenarios. at our company, senior deep learning algorithm developers contribute across multiple ai domains, with most opportunities in computer vision and additional roles in areas such as NLP /llms and 3d perception (radar, lidar, fusion). this role serves as a central entry point, enabling us to align your expertise and aspirations with the projects and teams where you can make the greatest impact. what will your job look like?
design, develop and implement deep learning algorithms to solve complex problems in computer vision
take ownership of deep learning projects: compose product requirements, design solutions, oversee execution, and collaborate with talented algorithm developers.
collaborate with cross-functional teams to understand requirements and develop solutions.
analyze large datasets to improve algorithm performance and robustness.
research the latest advancements in deep learning, multi-task learning, ai architectures, and apply them to enhance our algorithms

we are seeking a senior deep learning Research Engineer for an excellent opportunity. this role provides an outstanding opportunity to engage in groundbreaking innovation and contribute to the advancement of generative ai 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 large language models (llm's), 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 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 llm's and multi-modality models.
contribute to our ai enterprise software to ensure robust and scalable solutions.
collaborate with internal and external teams worldwide to drive research and development in llm's and 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.

the road algorithm team is responsible for one of the most critical and challenging tasks in autonomous driving - detecting and understanding the drivable road. our work leverages deep neural networks and geometric modeling to deliver reliable and high-quality road perception for autonomous vehicles. we are looking for an expert deep learning Research Engineer who will both drive independent deep learning research and collaborate closely with other developers to help unlock new directions, solve complex challenges, and elevate the teams algorithmic capabilities. what will your job look like:
conduct hands-on research and development of deep learning algorithms for road understanding, drivable area detection, and scene structure modeling
lead exploratory investigations into new architectures, training strategies, and data utilization methods
join forces with other developers to troubleshoot difficult problems, introduce new ideas, and guide technical decisions
own projects end-to-end - from concept and experimentation to integration and scalable deployment

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.

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 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.

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.