דרושים » תוכנה » Deep Learning Algorithm Engineer

We are looking for an experienced Senior Deep Learning Engineer with proven capabilities to lead the development of new products from concept to production. In this role, you will be a part of a highly talented team to drive inspection portfolio, while creating diverse Machine and Deep Learning algorithmic solutions.
A day in the life and how youll make an impact:
Design and Development of novel robust and efficient Machine Learning/ Deep Learning algorithms for major Vision challenges.
Create Proof of concept for new products and technology.
Evaluate and benchmark different algorithms on unique proprietary datasets.
Collaborate with team members to define future technology and features.

we are looking for a Senior Deep Learning Algorithm Researcher
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.

we are looking for a Deep Learning Algorithm Developer - ADAS group
As part of the algorithm team for the next generation of autonomous driving, you will: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.

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.
Face challenges in areas of 3D Reconstruction, SLAM/SFM and localization for indoor environments

Algorithm team lead (6033).
We develop some of the worlds most advanced electro-optical systems, from space-based sensors and long-range surveillance to Real-Time defense solutions.

We are looking for a hands-on Algorithm team lead who combines deep technical expertise with strong leadership, and knows how to turn cutting-edge AI into robust, Real-Time products running on edge hardware.
What youll do:
Lead and mentor a team of computer vision and AI engineers (hands-on).
Design, develop, and deploy advanced Computer Vision, ML, and Deep Learning algorithms.
Drive end-to-end solutions: from research and PoCs to Real-Time operational systems.
Define the technical roadmap for AI and Computer Vision.
Work closely with software, hardware, and product teams to deliver production-ready solutions.