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Were seeking a Staff Backend Engineer to expand and harden the core of Axioms platform. Youll work at the intersection of identity, security, and infrastructure, designing and delivering features that directly impact how Developers, Security, and Operational teams control access at scale.

This is a hybrid role based in Tel Aviv, where youll collaborate closely with engineering, product, and design to take features from concept to production quickly, securely, and at scale.

What youll be doing:
Design, develop, and optimize backend services that are performant, secure, and resilient.
Own end-to-end delivery of features: from design to deployment to monitoring.
Architect microservices and event-driven workflows in Go and AWS.
Collaborate across teams to transform ideas into production-ready systems.
Continuously improve scalability, reliability, and developer experience.
Mentor engineers and contribute to engineering culture through reviews and discussions.

As a Staff Software Engineer, you will play a critical role in building our platform. Your expertise and contributions will have a direct impact on the success and effectiveness of our product. Specifically, your responsibilities will include:
Lead, design, architect and build high-quality scalable software by introducing best practices around software engineering architecture and processes
Raise the bar on engineering excellence by improving standard methodologies, producing best-in-class code, documentation, testing, and monitoring
Collaborate with product and R&D engineers to translate product requirements into technical solutions.
Identifying and resolving technical issues and performance bottlenecks.
Staying up to date with the latest industry trends and technologies to continuously improve our products.
Be a mentor for colleagues and help promote knowledge-sharing.

This role requires working from the office four times a week.

Come join as a Senior Staff Machine Learning Engineer (MLE).
Senior Staff MLEs deliver end-to-end AI solutions that span multiple domains and products, influencing the strategic direction of machine learning and AI across the company. You will identify cross-cutting opportunities, set technical direction for complex systems, and deliver scalable, responsible AI-driven experiences that unlock customer and business value at scale.
In this role, youll be expected to define and evolve ML architecture, guide multiple teams, and drive execution excellence across the full ML lifecycle-from experimentation to production. Youll partner closely with AI scientists, product engineers, and business leaders to solve high-impact problems and pioneer new capabilities that advance AI-native platform.

We are looking for a strong hands-on Engineering Manager to lead the AI Productization team. You will lead a team that creates innovative products and platforms, ensuring AI capabilities are delivered to our customers at scale. You will act as a technical leader, mentoring engineers and applying technical expertise to challenging programming and design problems.
Respnsibilities:
Strategic Leadership: Collaborate closely with other teams to lead the strategy as well as drive the execution and bring it to life. Create a shared vision and build/maintain strong cross-functional relationships with partners across the business.
AI Delivery: Lead the delivery of backend as well as front end experiences, powered by state of the art AI technologies.
Build High Performing Teams: Bring out the best ideas from the best engineers by empowering them and leading by example. Build high-performing teams by putting the right people in the right job at the right time.
Hands-on Leadership: Participate in code reviews, design discussions, and hands-on coding to ensure the team delivers high-quality software.
Operational Excellence: Drive results by thinking strategically and ensuring the team follows Agile development methodologies.

Come join the team as a StaffBackend Engineer. We are a customer-obsessed, and our capabilities serve millions of customers; we innovate to create hyper growth to the customers and the business; using new technologies and driving new platform initiatives.
If you are passionate about building a world class platform, at a high scale, this is the opportunity for you!
Responsibilities:
You will seek to improve performance by refactoring existing services and flows
You will mentor more junior team members and help them learn and progress professionally.
You will collaborate with various stakeholders - product management, analysts, data engineers, customer success, and more.
You will contribute by owning the designing and implementing new features and enhancements and represent the team in the technical aspect during discussions and architecture roundtables
You will be hands-on, 70 - 80% coding
You will serve as the immediate go-to person within the team for any tech-related issue or discussion
Youll be a good listener, while also having strong opinions on what is right
Youll be fun to be around and work with

We are seeking a highly skilled Staff Fullstack Engineer to join our team. The ideal candidate will have a passion for developing high-quality, innovative software solutions and a strong familiarity with GenAI.
Responsibilities:
Frontend & Backend Depth: Design and implement scalable, modular, and secure services while creating integration-centric solutions using modern API technologies. Manage the full cycle of web service creation and consumption with ReST or GraphQL API modeling.
Full Stack Development: Design and develop web, software, prototypes, or proofs of concepts (POCs). Hands-on coding across the stack.
AI Integration: Designing systems with multi-step reasoning, using tool use and API orchestration to productize AI capabilities.
Cross-Functional Delivery: Work cross-functionally with various teams including product management and business units to drive forward results. Contribute to the design and architecture of the project.
Experience with Agile Development, SCRUM, or Extreme Programming methodologies.

We are looking for a Machine Learning Engineer (MLE) to work on building foundational language models and agentic AI systems that empower small and medium-sized businesses (SMBs) in their financial and operational journeys.
In this role, youll work alongside Machine Learning Engineers, AI scientists and product teams to build LLM based solutions for millions of small and medium busniesses around the world, and build foundational models, involving translate breakthrough research into production systems - designing, implementing, optimizing cost, latency, serving models that reason, act, and learn across real-world business contexts. Youll build scalable pipelines and infrastructure that drive impact on customers lives with the state-of-the-art AI from prototype to customer impact.
This is a unique opportunity for an engineer who thrives at the intersection of science and production, combining deep technical understanding of AI systems with the rigor and creativity needed to deliver robust, reliable, and high-performing products at scale.
Responsibilities:
Implement, optimize, and deploy foundation and agentic models for large-scale use in financial reasoning, decision support, and business automation.
Collaborate with MLE, AI scientists to operationalize research ideas, turning model architectures and training methods into efficient, production-grade implementations.
Design, build, and maintain ML pipelines for data ingestion, preprocessing, training, evaluation, and continuous improvement.
Optimize inference efficiency and model latency, ensuring production systems meet real-time performance requirements.
Contribute to retrieval, memory, and orchestration components that enable agentic reasoning and long-term context management.
Establish best practices for model monitoring, evaluation, and safe deployment, including automated testing and observability in production environments.
Drive applied innovation, bridging the gap between research prototypes and large-scale, reliable business solutions used by millions of customers.

Join an amazing team driving cutting-edge AI solutions in the fintech industry, primarily focused on evaluating risk for lending products.
This Principal role requires an exceptional blend of deep research, architectural mastery, and a powerful innovation mindset to pioneer new capabilities and deliver high-quality, end-to-end AI systems that shape the product direction for the next 5-10 years.
Responsibilities:
System Architecture & Ownership
Own projects from conception to production, collaborating globally with partners to deliver complex projects.
Define the vision and direction for end-to-end solutions, serving as a thought leader on execution that brings immediate value and solves for the long-term vision.
Deliver robust, high-performance AI/ML system designs that meet critical requirements (latency, throughput, cost, maintenance).
Drive cross-functional end-to-end design architecture.
AI/ML Development & Leadership:
Lead the full cycle of big data exploration, including hypothesis formulation, advanced predictive statistical modeling, and algorithm development across complex, large-scale data.
Mentor existing Data Science teams, influence AI-driven product design and strategy with partner architects, and assist in the definition of roles and training needs.
Innovation & Research Strategy
Pioneer innovative Proof of Concepts (POCs) to show the way for where Fintech products should go over the next 5-10 years, focusing on high-impact solutions like Explainable AI, Homomorphic Encryption, or advanced Behavioral Analytics.
Apply research to create high-impact solutions and represent the teams innovation to the wider organization.
Act as a Consultative Business Facilitator, exploiting revealed insights and providing entrepreneurial guidance for business stakeholders.

We're cultivating a culture that prioritizes innovators, risk-takers, and imaginative thinkers. In pursuit of becoming AI-native, we recognize that fostering a "builder" mindset is essential. This means seeking out those who can seamlessly integrate AI and emerging technologies to efficiently and effectively solve our customers' problems.
we hold a global leadership position in financial management solutions. We've been at the forefront of inventing Virtual Platforms and democratizing cloud computing for small businesses and their patrons alike. Our 40 years of expertise have rooted us in the startup mentality, positively disrupting ourselves as we constantly identify cutting-edge technology and design paradigms. Our teams are dynamic, focused on delivering creative solutions with a side of fun.
Responsibilities:
Create Front End solutions to deliver exceptional customer experiences.
Translate customer insights into mockups, wireframes, and proof-of-concept code
Lead a small team to solve complex programming and design issues
Contribute to project design and architecture and execute on web, mobile, and front end software development
Provides technical direction and guidance to the team by analyzing, evaluating, and prioritizing technical issues/ features, ultimately ensuring that high-quality solutions are delivered
Proactively identify opportunities to enhance software applications with AI technology
Coach and mentor junior engineers on best practices of software engineering, leveraging AI to enhance applications, and building their technical expertise to ensure efficient and effective outcomes
Launch AI integrations in production and evaluate their impact on software performance and user satisfaction, using appropriate metrics

we are seeking a Staff-level Senior AI Security Researcher to join AI Adversarial Robustness Research (A2RS), a multidisciplinary team focused on securing AI and GenAI models and systems.
Were looking for innovative team players who love new challenges, enjoy cracking tough problems, and thrive in cross-functional environments.
In this role, you will partner with data scientists and security researchers to define how secures AI applications.
Responsibilities:
Research AI and GenAI systems from a security perspective to understand when and how they are vulnerable to a variety of threats
Blue team: Explore innovative ways to enhance the security of AI systems
Red team: Analyze the attack surface of state-of-the-art AI technologies
Center of Excellence: Collect and synthesize research literature and open-source tools to build and maintain a robust knowledge base for adversarial robustness of AI systems
Distill and share AI security knowledge within and externally through seminars, blogs, papers, and conference talks

we are searching for a skilled and motivated Algorithm & Software Engineer to join our Calibration Team. The Calibration Team is an integral part of the Geometry Group within the R&D department. We develop cutting-edge computational geometry products for systems, essential for understanding vehicle surroundings and advancing Autonomous Vehicles and Advanced Driving Assistance Systems.
Our team's focus is on camera calibration functionalities. The foundation of all our algorithms is rooted in classic theoretical concepts that include diverse topics in mathematics and physics such as projective geometry, algebra, and optics. Given the wide-reaching impact of our work, these fundamental principles are translated into code, which must meet stringent real-time requirements, delivering both high accuracy and efficiency. To accomplish this, we actively utilize various profiling tools and techniques to continuously enhance the performance of our software solutions.
In addition, our team is gradually incorporating Machine Learning approaches to complement traditional methods and explore new ways to improve calibration accuracy.
We place a strong emphasis on the development of clean, well-documented, and testable code in order to produce robust and dependable software solutions. We are looking for individuals who share our commitment to code quality and recognize the significance of these practices.
What will your job look like:
Implement, deploy, and maintain algorithms in classic computational geometry.
Develop high-quality code primarily in C++, Python and occasionally using MATLAB.
Design and maintain real-time oriented code that meets stringent memory and runtime requirements.
Collaborate effectively with other teams at Mobileye.

we are seeking an Algorithm Team Lead to guide a team of highly skilled algorithm developers. You will join a collaborative group focused on researching and developing large-scale offline computer vision models that enable automatic data labeling and are deployed company-wide.
This role requires a unique combination of technical depth, leadership, and strategic thinking - and its your opportunity to inspire and challenge brilliant minds, while maintaining a strong presence and ensuring focus and execution.

You will lead the teams end-to-end work in 3D computer vision, multi-sensor reasoning, and SLAM-based perception, driving the development of state-of-the-art algorithms that power autonomous driving systems. The position involves close collaboration with Product and cross-functional teams to define priorities, balance innovation with delivery, and translate complex research challenges into production-ready solutions.
What will your job look like:
Lead a team of 7 algorithm developers, providing both technical and personal guidance.
Manage priorities and interface with product and engineering stakeholders to ensure alignment and impact.
Drive algorithmic research and development in the areas of 3D reconstruction, SLAM, optimization, calibration, and ego-motion estimation.
Oversee the full lifecycle - from concept and research to deployment in production systems.
Maintain hands-on involvement, mentoring the team in advanced algorithmic design and development.

we are seeking an Algorithm Team Lead to guide a team of highly skilled algorithm developers. You will join a collaborative group focused on researching and developing large-scale offline computer vision models that enable automatic data labeling and are deployed company-wide.
This role requires a unique combination of technical depth, leadership, and strategic thinking - and its your opportunity to inspire and challenge brilliant minds, while maintaining a strong presence and ensuring focus and execution.

You will lead the teams end-to-end work in 3D computer vision, multi-sensor reasoning, and SLAM-based perception, driving the development of state-of-the-art algorithms that power autonomous driving systems. The position involves close collaboration with Product and cross-functional teams to define priorities, balance innovation with delivery, and translate complex research challenges into production-ready solutions.
What will your job look like:
Lead a team of 7 algorithm developers, providing both technical and personal guidance.
Manage priorities and interface with product and engineering stakeholders to ensure alignment and impact.
Drive algorithmic research and development in the areas of 3D reconstruction, SLAM, optimization, calibration, and ego-motion estimation.
Oversee the full lifecycle - from concept and research to deployment in production systems.
Maintain hands-on involvement, mentoring the team in advanced algorithmic design and development.

ourImaging Radar group is seeking a talented individual to join our team as a Automation Engineer & Integration Specialist.
This multifaceted role requires expertise in DevOps practices, integration technologies, release management, IT and lab support, as well as proficiency in developing automation solutions.
The ideal candidate will have a strong technical background coupled with a proactive mindset to drive efficiency and reliability across our systems and processes
What will your job look like:
Automate provisioning, configuration, and deployment processes to increase efficiency and scalability
Manage infrastructure as code using tools like Ansible, Kubernetes or similar technologies
Design, implement, and maintain CI/CD pipelines to automate software delivery processes
Collaborate with development and validation teams and troubleshoot integration issues
Coordinate software releases and deployments across development, testing, and production environments
Provide technical support for IT infrastructure, including servers, and developers workstations
Troubleshoot hardware-related issues

The AV Validation Infrastructure team is looking for an experienced backend Python developer with a strong background in data, pipelines, streaming, and databases to help us scale our infrastructure and services.
Our team is responsible for ensuring the safety and performance of autonomous vehicle (AV) by building the tooling, data systems, and automation that power large-scale validation.
Key Challenges:
Ingest vast amounts of driving data daily, and youll help design systems to store, process, and query it efficiently.
Work with both structured data (tables, metrics, logs) and unstructured data (images, logs, voice recordings, etc.), connecting them to understand vehicle behavior and AV version stability.
Support hundreds of internal and external users across the organization and customers, where reliability, usability, and performance are critical.
What will your job look like:
Design and develop large-scale automation infrastructure and internal tooling for AV validation
Build and maintain data-driven services and pipelines in Python
Develop and maintain RESTful APIs and queue-based / event-driven services
Work with CI/CD and infrastructure tools such as Jenkins, Linux, Kubernetes
Work with modern data and storage technologies, such as:
Data & compute: Spark (advantage)
Databases / data lake: Iceberg, Athena, DynamoDB, RDS, other SQL/NoSQL systems