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The AI team is building deep neural networks and computer vision algorithms for our smart-cart solution. Including identification of which product was inserted into the cart from a set of up to hundreds of thousands of different products in stores around the world.
The team includes Algorithm researchers and Data operations who together build a scalable training-pipeline, capable of training on millions of images for multiple tasks.
About The Role
Own the full development cycle - from researching a problem, defining the required dataset, implementing an efficient model, deploying it to production, and improving it upon real-world results.
You will work on computer-vision problems such as object detection, fine-grained classification, computational geometry, localization, tracking, and more.
Use, adapt and improve state-of-the-art implementations and adjust them to various project needs.

We are looking for a Data Operations Team Lead to lead and scale our data operations function. This role sits at the intersection of data, algorithms, and operations, and is critical to the success of our computer vision and AI models.
You will lead a distributed team responsible for data collection, annotation, quality control, and delivery, while working closely with Algorithm teams to understand model needs, prioritize requests, and ensure reliable, high-quality data pipelines.
This is a hands-on leadership role - you will manage people and processes, but also actively design, build, and improve data workflows.
About The Role
Lead and manage the Data Operations team, including annotation teams in Israel and a large remote team in India
Serve as the primary interface between Data Operations and Algorithm teams: understand model requirements, prioritize tasks, and plan data delivery
Own end-to-end data workflows, from model improvement needs through data definition, annotation guidelines, execution, and delivery
Ensure high data quality through close monitoring, validation, troubleshooting, and root-cause analysis
Design and maintain clear annotation guidelines, documentation, and training materials
Closely manage remote annotation teams, including weekly syncs, hands-on oversight, and deadline management
Own and operate the annotation pipeline using industry tools (e.g., CVAT)
Monitor progress, track performance, and continuously improve efficiency and quality
Own annotation budgets, monthly reporting, and validation of hours and outputs
Evaluate, benchmark, and implement new tools and processes in the data and annotation domain
Work hands-on with scripts, AI tools, and monitoring systems as needed to support data quality and operations.

We are looking for a passionate and experienced QA Tech Lead to take ownership of quality across our products and lead our QA efforts from a technical perspective. This is a senior, hands-on role, focused on manual testing, technical leadership, and close collaboration with multidisciplinary R&D teams.
As a QA Tech Lead, you will shape QA methodologies, lead the QA team technically, and ensure the delivery of high-quality, reliable systems built on AI, computer vision, and hardware-software integrated solutions. You will thrive in a high-pace, dynamic environment with frequently changing priorities, while maintaining high professional standards and strong cross-team collaboration.
This is a full-time, on-site position (5 days a week from the office).
About The Role
Perform hands-on manual testing of complex AI-driven and HW-SW integrated systems
Define, implement, and continuously improve QA processes, methodologies, and best practices
Own quality throughout the full product lifecycle, from requirements to production
Plan QA activities based on business and technical priorities, adapting quickly to changing needs
Work closely with all R&D teams
Identify risks, prioritize issues effectively, and ensure timely and high-quality deliveries
Strengthen the companys quality culture by promoting ownership, accountability, and collaboration
Lead the QA team technically, providing hands-on guidance and setting high standards for quality.

We are looking for a highly skilled Full Stack Developer with 5 years of experience in software development, proficient in Python and React. A passion for creating complex features and solving complex problems, as well as designing and architecting business solutions.
About The Role
Design, develop and maintain high-quality web applications using Python and React.
Develop and maintain clean and efficient code
Troubleshoot and debug issues as they arise
Optimize applications for maximum speed and scalability
Participate in the entire software development life cycle, including planning, design, development, testing, and deployment
Collaborate with product managers, designers, and other developers to identify and solve complex problems
Continuously research and evaluate new technologies to improve the product and the development process.

Were seeking a passionate individual who takes pride in delivering exceptional code to join our Machine Learning Engineering team. This team is at the heart of implementing and deploying cutting-edge computer vision-based algorithms, driving the development of our next-generation solutions.
About The Role
Design, develop, and maintain robust, production-grade software solutions that power our AI and computer vision systems.
Develop and optimize infrastructure supporting AI models, including training pipelines, deployment frameworks, and model serving at scale.
Work closely with algorithm engineers to translate research and model prototypes into high-quality, production-ready code.
Take ownership of all software aspects related to edge devices, including operating systems, device security, deployment, and performance optimization.
Identify bottlenecks and write highly optimized code, utilizing various hardware accelerators to maximize system efficiency.
Actively participate in architecture discussions and contribute to design decisions throughout the development lifecycle.
Promote and strengthen the teams engineering culture by adopting and implementing best practices, high coding standards, and robust testing methodologies.

Were looking for a brilliant Deep Learning & Computer Vision 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.

We are looking for a talented and self-motivated Annotation Specialist to join our Annotation team and work closely with our Algorithms department.
This is a unique opportunity to make a real impact in a meaningful, safety-critical industry.
Responsibilities:
Be responsible for the ground truth annotation and tagging and channel accurate visual data to the deep learning pipeline.
Work with various imagery sensors such as RGB, Thermal and visual geographical data.
Work closely with internal teams to understand their requirements for annotated data.
Suggest methods for improving work efficiency.

We are looking for a Junior Outbound Business Development Representative, who is eager to learn and grow in the world of international B2B sales.
This is an entry-level position perfect for candidates with up to 1 year of experience.
This role is ideal for someone who is comfortable with targets and motivated by performance-based rewards.
What We Offer:
Hands-on training in outbound and international B2B sales
Close mentorship from experienced sales leadership
Opportunity to grow into Account Executive / Sales roles
Exposure to global markets in a deep-tech environment.

We are seeking a Director of Product to oversee and guide the entire product lifecycle and strategy for our vision technology solutions designed specifically for the rail industry.
Responsibilities:
Develop and execute a comprehensive product roadmap that aligns with company objectives and market needs.
Conduct in-depth market research to identify trends, opportunities, and the competitive landscape.
Work closely with sales, marketing, and customer support teams to ensure product alignment with market needs and customer expectations.
Collaborate closely with R&D and other cross-functional teams to define and prioritize the product roadmap according to strategy.
Prioritize product features and enhancements based on customer feedback, market analysis, and business goals.
Communicate product strategy and updates effectively to internal and external stakeholders.
Build and maintain strong relationships with key customers and industry partners.
Define and track key performance indicators (KPIs) to measure product success and impact.
Ensure products meet regulatory and safety standards specific to the rail industry.