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You will join a collaborative team dedicated to researching and developing advanced neural networks critical to our companys key products. We are recruiting for several teams, offering you the opportunity to work on vision-related tasks such as segmentation, object detection, classification, regression, as well as 2D and 3D vision technologies. In this role, you will be responsible for the full cycle of deep learning R&D, including modeling new solutions, enhancing the performance of existing ones, and participating in innovative, cross-organizational initiatives. This position offers the opportunity to be part of a fast-paced, forward-thinking environment while leading projects with a strong emphasis on cross-functional collaboration, ensuring that our solutions meet the needs of our autonomous vehicle technologies, external customers, and advanced driver-assistance systems (ADAS).
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.
Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithms.

The VIDAR team is dedicated to solving advanced vision problems, with a focus on 3D domain encompassing reconstruction and object detection. Our team research, develops, and deploys cutting-edge techniques to achieve world-class results, contributing to the safe advancement of Autonomous Driving.
What will your job look like:
Conduct research and develop innovative Computer Vision and Deep Learning algorithms in areas such as Object Detection and Tracking, Depth Sensing, and 3D Reconstruction.
Engage in cutting-edge Computer Vision projects, from the data science and research stages, through proof of feasibility to the deployment of solutions.
Performance-oriented deployment of Computer Vision and Deep Learning algorithms on a Real-Time embedded chip for autonomous driving.
Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems.
Continuously learn and stay updated on the latest advancements in relevant research fields that impact our daily work.

we are hiring a Data Scientist for a software development division focused on aerial imagery, C4I systems, and AI.
Position Responsibilities:

Research and development of original, cutting-edge AI products for both the defense and civilian markets
Conducting research for the development of new products and improvement of the companys leading solutions
Development of AI models to solve complex real-world challenges
Development and optimization of deep learning-based models
Analysis of complex systems, reviewing academic literature, and implementing research insights
Working as part of a research and development team using Agile methodologies
Development in both cloud and on-premise environments

we are a pioneering force in the autonomous vehicles (AV) industry. If you are a bright hands-on developer with a passion for making a difference - join us to make AV a reality.
Which department will you join?
our companys AI algorithms group utilizes deep learning to revolutionize the way an AV understands its surroundings, in real-time. For that, we develop state-of-the-art multi-task deep neural networks to discern vehicles, pedestrians, and roads semantic information, that are trained on massive amounts of video data. These networks are later deployed on our companys SoC, EyeQ, as backbones for multiple AV products.
What will your job look like?
Design, develop, and implement deep learning algorithms for solving complex problems.
Collaborate with cross-functional teams to understand requirements and develop solutions.
Conduct research, evaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracy.
Optimize existing algorithms to improve performance and scalability.
Research latest advancements in deep learning, multi-task learning, AI architectures and more, and apply them to enhance algorithm capabilities.

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 companys 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 companys 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 a Computer Vision / Deep Learning Algorithm Developer to join us in research and development of our next-generation automatic sports video content generation engine. If you are passionate about researching state-of-the-art solutions for video content creation we are looking for you!
What youll do:
Research and develop end-to-end real-time solutions for sports content generation using state-of-the art deep learning algorithms for video, audio, and data analysis.
Full R&D cycle, from problem definition and research to implementation and productization with a high level of autonomy.

We are looking for a NLP Algorithm Developer to join us in research and development of our next-generation automatic sports video content engine. If you are passionate about state-of-the-art NLP and Multimodality AI research we are looking for you!
What youll do:
The teams main focus: NLP & Vision
Research and develop end-to-end real-time solutions for sports content automation using state of the art deep learning algorithms for text, speech, audio and data analysis.
Full R&D cycle, from problem definition and research to implementation and productization with a high level of autonomy.

We are looking for a Senior GenAI/NLP Algorithm Developer to join us in research and development of our next-generation automatic sports video content engine. If you are passionate about state-of-the-art NLP and Generative AI research we are looking for you!
What youll do:
The teams main focus: NLP & Generative AI.
Research and develop end-to-end real-time solutions for sports content automation using state of the art deep learning algorithms for text, speech, audio and data analysis.
Full R&D cycle, from problem definition and research to implementation and productization with a high level of autonomy.
In addition, part of the role & responsibilities will be:
Design, develop and implement state-of-the-art Generative models, prompt engineering and classical ML/NLP techniques to create high-quality solutions for demanding product-oriented NLP tasks.
Engage in collaboration with product, account, and customer success teams to establish success criteria and convert them into measurable objectives and quantitative measures.
Conduct training and evaluation of models within practical production scenarios.

Were looking for a brilliant and ambitious Data Scientist who is seeking his next challenge, with proven experience in big-data analysis, machine learning algorithms and digital signal processing. We invite you to work in a creativity oriented, vibrant and non-formal environment that will encourage you to learn, grow your research and development skills and experience while executing end-to-end algorithm development process of a unique platform aim to improve patients quality of life and survival.
Job description:
Execute statistical modeling and analysis of large data sets using ML and big-data algorithms
Perform end-to-end research and development of speech signal processing algorithms.