לוח משרות דרושים Deep learning researcher

We are looking for a Software Engineer specializing in Deep Learning to join research department.
While vision and language models have become increasingly commoditized, proprietary deep learning models are unique, fast-evolving, and deployed in live trading across the worlds most efficient and sophisticated financial markets. Operating in this environment presents distinct scaling challenges and continuous opportunities for optimization. Success in this role requires first-principles thinking and a deep understanding of the engineering trade-offs behind high-performance DL systems.
This is a pivotal role within research organization. You will work closely with researchers and engineers across the company, training deep learning models on massive compute clusters and adapting them for production serving under strict and non-trivial constraints.

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 global leader in autonomous vehicle (av) technology. if youre an experienced deep learning Developer driven by a passion to shape the future of mobility, join us to make av a reality. the 3d perception team builds transformer-based vision models trained on large-scale driving video for the next generation of autonomous vehicles. our end-to-end temporal network fuses multi-view cameras into a unified 3d sensing state that powers planning.
what will your job look like?
develop, implement and optimize state-of-the-art transformer-based temporal vision models
extend network capabilities, analyze results and errors, and deliver measurable improvements to the driving scene understanding
work shoulder-to-shoulder in a large, collaborative group
research and integrate the latest advancements in 3d detection and perception
improve algorithmic performance through rigorous experimentation and innovation
work with large-scale datasets
research new advances in the field from the literature and industry.

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.

We are the world leader in automotive and driving assistance systems, developing the world's most advanced software technologies and hardware architectures.
our group is located in haifa and is responsible for enabling the deep learning and computer vision algorithms on the platform. the technology we develop enables state-of-the-art deep neural networks to run efficiently in vehicles - contributing to saving lives and enabling autonomous vehicles. this is an exciting opportunity to work with highly talented engineers and be a part of a product with a lot of innovation and work on cutting-edge compiler and optimization technologies in the ai domain.
what will your job look like?
shape our product by applying cutting-edge deep learning network optimization techniques and will have the chance to influence future generations of our hardware and software
develop a deep learning compiler stack that takes neural network descriptions created in frameworks such as tensorflow and pytorch and converts them into code suitable for execution on custom-built our hardware
use state-of-the-art open-source technologies such as mlir and work closely with the open-source community
develop optimized implementations of a variety of neural-network operations and new optimization techniques and algorithms to efficiently map ml models onto our state-of-the-art systems
develop a toolchain that will provide a quantum leap in deep learning capabilities and performance.

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

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.