דרושים » תוכנה » Deep Learning Researcher

We are looking 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.

Were looking for a Computer Vision Research Scientist to join our amazing growing team where each team member makes an impact.
Responsibilities:
Conduct research and development in computer vision and image processing
Design, implement, and integrate computer vision and machine learning algorithms and prototypes and assist in the transition into products and services
Interact with and support multiple research teams ranging from research scientists to engineers to manufacturing and retail
Work between multiple business units and sub business units including managing meeting flows, presenting data, building, and maintaining relationships.
integrate the latest high impact ML and AI technologies into our process.

We are looking for an exceptional Deep Learning Engineer to join our core autonomy team. In this role, you will be responsible for building the AI-driven "brain" of our autonomous driving technology. Your focus will be on designing, training, and deploying state-of-the-art Deep Learning models that handle high-level prediction and driving policy. You will solve complex, real-world challenges by leveraging advanced neural network architectures to optimize decision-making under high uncertainty.
Responsibilities
Model Training & Architecture: Design, train, and optimize cutting-edge Deep Learning models for prediction and driving policy.
End-to-End DL Development: Take ownership of the full DL lifecycle, from data curation and feature engineering to training, evaluation, and deployment.
Scalable Infrastructure: Develop robust pipelines for training and evaluating models on massive, real-world driving datasets.
Production Deployment: Optimize and integrate deep learning models to run efficiently in real-time within the core autonomy software stack.
Full-time availability at our Tel Aviv HQ.

we are looking for a Director of AI.
The Director of AI will lead the companys AI organization, including algorithm development teams, embedded algorithm engineers within product squads, and the Data Operations team.
This role combines strategic leadership with execution ownership, driving the development, deployment, and continuous improvement of AI-powered products across power transmission, border security, and critical infrastructure monitoring.
The Director of AI is accountable not only for algorithm innovation, but also for ensuring successful production deployment and measurable customer impact. This leader will establish a customer-first culture across the organization, aligning AI development priorities with customer needs, product objectives, and business outcomes.
The ideal candidate is a visionary yet execution-oriented leader who can bridge cutting-edge AI research with scalable production systems, build high-performing teams, and deliver measurable customer value.
Success in this role will be measured not only by algorithm performance, but by the ability to deliver AI capabilities into production and generate measurable value to our customers.
What Youll Do:
Lead the AI group, including algorithm development teams, embedded algorithm engineers, and data operations.
Build and mentor high-performing teams, fostering a culture of ownership, collaboration, continuous improvement, and customer focus.
Define and execute the AI roadmap in alignment with company strategy, customer needs, and product objectives.
Lead the development and deployment of AI, Machine Learning, Deep Learning, and Signal Processing solutions.
Own the full AI lifecycle, from research and experimentation through production deployment, monitoring, and continuous optimization.
Lead the Data Operations function, ensuring efficient annotation, labeling, and quality processes that support AI development.
Partner closely with Product, Engineering, and business leaders to maximize AI impact across the organization.
Engage with customers and stakeholders to understand challenges, identify opportunities, and drive measurable business value.
Communicate AI strategy, progress, opportunities, and risks to executive leadership.
Contribute to company strategy, product direction, and technology leadership.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we pioneered the world's first fully automated suite of AI-powered vehicle inspection systems, combining computer vision, machine learning, and generative AI. With over $380M in funding and strategic partnerships with Toyota, Amazon, General Motors, JLR, Volvo, and Hertz, our technology is deployed across manufacturing plants, dealerships, wholesale auctions, fleets, and seaports worldwide. Named one of Fast Company's Most Innovative Companies of 2026, our 300+ global employees are solutions-oriented, accountable, and driven by one shared goal: making roads safer for everyone.
We are looking for an experienced Research Scientist, Sensing to push UVeye’s inspection beyond today’s sensing stack. You will evaluate, prototype, and develop AI models for new sensing modalities such as thermal, hyperspectral, acoustic, radar, structured light, and event cameras, surfacing vehicle defects that today’s systems cannot see.
A day in the life and how you’ll make an impact
* Survey emerging sensing technologies and identify the modalities most likely to expand UVeye’s defect coverage.
* Prototype with new hardware, build small-scale datasets from scratch, and train modality-specific models.
* Run controlled experiments that benchmark new modalities against today’s inspection stack on shared defect scenarios.
* Develop multi-modal fusion approaches that combine new and existing sensors for stronger detection.
* Recommend which modalities graduate into product and partner with R&D and product on integration.

We are looking for a highly motivated and experienced Senior Computer Vision Engineer to join the team developing our perception, localization, and autonomy software stack.

You will own the development, integration, and optimization of features such as Visual-Inertial Odometry, Tracking, Object and Motion Detection, Image preprocessing and stabilization, and data link/streaming solutions.

You will lead the design, development, integration, and optimization of core perception and vision capabilities, including Visual-Inertial Odometry, Tracking, Object and Motion Detection, Image Preprocessing and Stabilization, and real-time video streaming solutions.

Responsibilities:
Contribute to the architecture, design, and implementation of Vision software modules.
Lead the development of complex features from concept through production.
Collaborate with mission control, systems, infra, and flight teams to ensure robust integration.
Translate cutting-edge research and POCs into reliable, production-grade software.
Ensure performance, robustness, and real-time operation under constrained conditions.
Mentor engineers and drive engineering best practices across the Vision team.

Were looking for a talented Applied Algorithms & Operational Researcher to join our innovative team. As a member of our team, you will be responsible for analyzing extensive data, developing new metrics for our customers' vast data sets, and creating tools to classify and analyze the data effectively.
Responsibilities
Conduct comprehensive performance analysis of automotive radar systems, including data collection, processing, and interpretation. Evaluate system performance in various scenarios.
Develop and implement algorithms and tools to process and analyze radar data. Extract relevant performance metrics and provide meaningful insights into system behavior and limitations.
Collaborate with the development team to identify areas for improvement and optimization.
Conduct radar system performance tests and validation procedures. Create test plans, define test cases, and analyze results to ensure system performance meets specified requirements. Identify potential issues, troubleshoot problems, and propose solutions.
Create concise reports, technical documents, and presentations summarizing performance analysis results and recommendations. Effectively communicate findings to cross-functional teams, including engineers, managers, and other stakeholders. Contribute to product documentation and technical specifications.