לוח משרות דרושים Deep learning researcher ברמת גן

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 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.

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