לוח משרות דרושים מפתח אלגוריתמים משרה מלאה

we are looking for a Sr. Algorithms Engineer.
We see your role as:
Developing the infrastructure and framework for a highly scalable, Image Processing/geometry ( OpenCV, Ipp) component of a large software product.
Designing and delivering CAD to Print algorithms
Developing geometry-oriented software
Being a part of a talented team

Algorithm team lead We are looking for an experienced Algorithm team lead to drive the development of advanced computer vision and 3D algorithms, from concept through deployment on edge systems.

We are looking for a research intern to join us for a research project aimed at publication at a top-tier venue. The intern will design and develop novel agentic systems that leverage large language models and vision-language models to reason over extended video content.
Description
Our team focuses on generative AI applications for videos. You'll work alongside fellow researchers and engineers, leveraging Computer Vision and Agentic Systems technologies to build future products.
Responsibilities
Design and implement novel LLM-based agentic systems for long-form video understanding, targeting established academic benchmarks
Collaborate with researchers and engineers on the team to produce a publication-ready contribution
Benchmark against established evaluation suites and iterate toward state-of-the-art results

We are looking for data scientists that are passionate about applied and theoretical research in the realm of computational linguistics.
As a data scientist, you will join us on our quest to develop novel approaches for generalized AI that can understand and generate natural language.
As such, you will study linguistics and mathematical phenomena in order to create new state-of-the-art NLP models that can be applied on, and generalize across multiple domains and use cases.

looking for a highly motivated Algorithm Intern to join our cutting-edge AI team. This is a unique opportunity to work on real-world deep learning challenges, contribute to production-level systems, and collaborate with top-tier engineers and researchers.
This is a full-time, 3-month internship, with the potential to transition into a full-time Algorithm Engineer position upon successful completion.
Why Join Us?
Work on cutting-edge AI technology used by real users
Learn fast and gain real production experience
Be part of a collaborative, high-impact team
Opportunity to convert to a full-time role
Responsibilities
Design, implement, and improve deep learning models.
Work on real-world AI problems using large-scale data.
Collaborate closely with experienced engineers and researchers.
Run experiments, analyze results, and optimize model performance.
Take ownership of projects and drive them forward independently.
Stay up to date with the latest trends in AI and deep learning.

We arelooking 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.

Rail Vision is a multidisciplinary startup headquartered in Ra'anana. We are the leading provider of obstacle detection, collision avoidance and drive able areas systems in the railway industry around the globe, supporting Autonomous Train Operations. With our unique cognitive sensor fusion technology, based on advanced electro-optic sensors and perception solution, Rail Vision systems detect obstacles on and along the tracks from up to 2 kilometers away, in real-time, and in diverse weather and lighting conditions. We provide systems capable of operating in various environments: On mainline and high-speed rail, in urban environments, and in challenging switchyards. Rail Vision offers a range of complementary features based on collected and analyzed data: Image-based Navigation, GIS Mapping and Predictive Maintenance. We’re looking for a brilliant Deep learning research engineer to join our Algorithms group. What will you do?
* Be a researcher of the core deep learning algorithms and communicate with other researchers.
* Design and implement advanced algorithms to solve complex problems.
* Developing the next generation algorithms including different CNN architectures, CV algorithms and algorithms that utilize Physics in complex environment.

Required Senior Deep Learning Algorithm Researcher - Air2Road Localization
Description
Backed by over 250 patents and trusted by global industry leaders including Toyota and BMW, we are redefining AI for the future of autonomous driving.
Our breakthrough Air2Road Localization technology fuses aerial imagery with real-time ground view data to achieve accurate vehicle localization, even in areas where GPS fails. Join our Air2Road team to shape the next generation of AI-driven localization, tackle cutting-edge research challenges, and turn state-of-the-art deep learning into real-world impact!
Responsibilities
As a senior member of the Air2Road algorithm team, you will:
Research, design, and implement state-of-the-art deep learning models in computer vision (e.g., detection, segmentation, transformers, self-supervised learning).
Use classical computer vision algorithms together with deep learning to build robust solutions.
Translate research into production-ready algorithms, writing clean, efficient, and scalable code in Pytorch.
Explore creative ideas, experiment with novel architectures, and continuously push beyond current SOTA.
Take ownership of your work end-to-end, from concept through prototyping to deployment in production.

Required Senior Algorithm Engineer
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 Algorithm Developer - ADAS group
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 a global leader in space based intelligence solutions, serving for over 20 years as a trusted partner to some of the worlds most demanding defense and intelligence organizations. The company delivers high quality, mission critical capabilities tailored to address complex, strategic, and highly sensitive intelligence challenges. As part of its continued growth, ISI is seeking a talented Algorithm team leader to join the Algorithm Development Group and lead cutting edge AI and Computer Vision initiatives that transform advanced research into operational impact. This position combines technological leadership, research direction, and end to end implementation in a production oriented environment.
Responsibilities:

* Professional and managerial leadership of an AI algorithm team
* Development, training, and optimization of Deep Learning models for computer vision tasks
* Hands on work with advanced detection and segmentation architectures, including YOLO
* Research and implementation of VLM and LLM in multimodal contexts
* Designing research workflows, experimentation frameworks, validation processes, and performance improvements
* Mentoring and guiding junior team members and supporting their professional growth
* Close collaboration with software, product, and hardware teams
Advantages:

* Experience working with GIS systems and geospatial data
* Experience implementing algorithms on hardware or working closely with hardware teams
* Experience optimizing models for real time systems or resource constrained environments
* Experience transferring models from research environments to production

We are looking for an Algorithms Manager who will lead the design and implementation of the automotive imaging radar Algorithms stack.
What will you do?
Lead the team which defines and scales up radar high performance algorithms and make them meet the ADAS and Autonomous Vehicles standards and beyond
Drive and consistently improve radar performance
Identify key areas of Next Generation improvements, recommend research directions and system solutions
Design, develop and implement Radar data analysis methodology
Be a knowledge source for automotive radar KPIs
Work closely with different stakeholders that include external customers and internal interfaces like SW, HW, and others

We are looking for experienced, creative and impact-oriented Algorithm Developers to join our team!
As an Algorithm Developer you will be responsible for building state of the art algorithms powering LLMs and agentic frameworks. You will be part of a multi-disciplinary team that also includes engineers and product professionals, all working together to bring our products to life.
You will take part in the full life cycle of our development process, deeply understand the problem we are solving, come up with algorithmic approaches for solving these problems, devise strategies for collecting necessary training data, train and evaluate large language models and other machine learning models and also be in charge of deploying these solutions in production.
Role and Responsibilities:
Build the algorithms that power our various products
Develop production-grade solutions to challenging product-driven NLP tasks by combining language models, RL and classical ML/NLP.
Collaborate with product, sales and customer success teams to define success criteria and translate them into quantitative measures and objectives
Devise innovative strategies for collecting training and evaluation data
Train and evaluate models in realistic production scenarios
End-to-end ownership of the algorithmic components of our products, from design, through implementation and monitoring in production.

Required Accelerator - Application Engineer
Description
A leading high-tech company, developing top-performing AI processors for edge devices in various industries. We combine an extensive understanding of the way neural networks operate, with our teams expertise in SW and HW architecture, to develop products that transform the way we use machines to perceive and analyze the world around us.
Our company is led by a group of experts from a wide range of disciplines, combining experience from elite intelligence units as well as leading tech companies in Israel and abroad, with a track record of executing complex projects from the ground up. As an AI chip company, we believe that AI can help us create a better, safer, more productive, and more convenient world. For this to happen, AI needs to be available at scale and on the edge.
To this end, our team of hardware and software leaders is developing top-performing AI processors, dedicated to AI tasks on edge devices in a wide variety of applications and industries including smart cities, automotive, manufacturing, agriculture, retail, and many more. With hundreds of customer programs around the world, and a wide ecosystem of software and hardware partners, we are leading the edge AI revolution.
In this position
In this role, you would work very closely with both customers and internal teams. On the technical side, you would build demos and reference applications in C++, Python, and GStreamer, helping showcase and enable different AI use cases, including vision AI and generative AI.
You would also support customers as they evaluate and deploy our technology, helping them optimize models, integrate with our accelerator stack, and troubleshoot issues. Internally, the role acts as a bridge between customers, R&D, product, and business teams to make sure technical requirements and feedback are clearly communicated.
Responsibilities
Design and develop end-to-end demo and reference applications in C++, Python, and GStreamer for Vision AI and GenAI use cases.
Own deep technical expertise across the accelerator stack, including Dataflow Compiler, runtime, model quantization, performance optimization, and roadmap direction.
Support deployment and optimization of deep learning models, including transformer-based and generative models.
Lead technical alignment processes with customers from evaluation through deployment.
Act as primary technical focal point for selected strategic accounts.
Provide structured and high-quality pre-sales and post-sales technical support.
Drive issue resolution across Customer Success and R&D, ensuring clear ownership and follow-up.
Translate business needs into technical requirements and collaborate with Product to influence roadmap decisions.
Ensure excellent response time and support quality for customer escalations.
Define best practices, documentation, and internal workflows for application engineering.