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As a Machine Learning Engineer, you will work closely with experienced engineers and ML scientists to build scalable, production-grade GenAI applications. Your work will focus on designing, training, and deploying ML systems leveraging LLMs,, recommendation systems, and agent-based architectures, using state-of-the-art technologies. These solutions will directly power customer-facing experiences and play a key role in shaping the future of AI-driven travel products.

Key Job Responsibilities and Duties:

Deploying machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide content related insights and generative AI applications, ensuring scalability, efficiency, and accuracy.

Evaluating possible architecture solutions by taking into account cost, business requirements, emerging technologies, and technology requirements, like latency, throughput, and scale.

Generative AI Development: Contribute to the development of generative models such as GPT (Generative Pre-trained Transformer) variants or similar architectures for creative content generation, Q&A, chatbots, translation or other innovative applications.

Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.

Owning a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and acting accordingly when violated.

Maintain clean, scalable code, ensuring reproducibility and easy integration of models into production environments, including CI/CD.

Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

As a Machine Learning Engineer, Youll work with top notch engineers and machine learning scientists on bringing it to the next level and enabling optimal customer experience while having a significant impact on the business. The work will focus on data and ML foundations for reusable training, optimization and deploying causal machine learning models.



Key Job Responsibilities and Duties:

Model evaluation and optimization: Conduct detailed model evaluation metrics and validation to ensure accuracy, reliability, and scalability. Optimize model performance by fine-tuning hyper parameters, feature engineering, and applying techniques such as ensemble learning and continuous learning.

Data pre-processing and analysis: Collaborate with data scientists and data engineers to collect, clean, pre-process, and transform large and wide datasets for model features and data monitoring. Conduct exploratory data analysis (EDA) to uncover insights and identify patterns that boost the model performance.

Building machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide personalized recommendations to users.

Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.

Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.

We are looking for a highly technical, hands-on Tech Lead to build and lead a Core Engineering Team that operates across all R&D squads.
This team will act as a force multiplier - solving complex system challenges, driving architectural improvements, and enabling development teams to move faster with higher quality.
This is a deeply hands-on role (50%), combining system design, architecture, and execution in a data-critical, high-scale environment.
What Makes This Role Different:
Not a feature team - focus on system-level problems
Not a traditional manager - strong hands-on ownership
Not advisory - drives and executes real changes in production
Works across teams - true cross-team impact
Responsibilities:
Cross-Team Technical Leadership:
Lead a Core Team working across multiple squads
Identify system-wide bottlenecks, risks, and architectural gaps
Drive alignment on engineering standards and best practices
Partner closely with Tech Leads, Product, and Dev teams
Architecture & System Design:
Own and evolve system architecture (Monolith → Modular / Services)
Reduce tight coupling and improve system boundaries
Lead major refactoring and modernization efforts
Ensure scalability, performance, and resilience
Microservice architecture (from modular monolith to microservices)
Hands-On Development (70%):
Write complex production code across services
Lead by example in code quality and design
Take ownership of the most challenging technical problems
Engineering Excellence & Enablement:
Define and enforce development standards (Code Reviews, Design Patterns)
Improve observability (monitoring, logging, alerting)
Build reusable tools, infrastructure, and shared components
Enable teams to deliver faster with higher quality
Advantage for AI driven standard validations
Mentorship & Technical Growth:
Mentor engineers and Tech Leads across teams
Raise the engineering bar across the organization
Support teams in production debugging and solving complex production issues
Tech Stack:
Backend: Node.js, (Express,nestJS), PHP (advantage)
Frontend: React, Redux, React Hooks
Data: MySQL, SQL, Redis
Infrastructure: AWS
Advantage: Experience with agent frameworks (agentic flows)
Success in This Role:
Teams deliver faster with fewer blockers
System architecture becomes more scalable, modular and stable
Production stability and observability improve
Engineering standards are consistent and adopted
The Core Team becomes a trusted partner across R&D.

We are looking for a highly technical and hands-on AI Transformation Lead to drive the implementation and adoption of AI across the organization.
This is a builder role, not a strategy-only position. You will be responsible for identifying high-impact opportunities, designing and implementing AI-powered solutions, and integrating them into our existing systems and workflows across R&D, Support, Sales, and Operations.
The ideal candidate combines a strong engineering background with the ability to translate business needs into scalable, production-ready solutions - and ensure they are actually adopted and deliver measurable impact.
Role Mission:
Lead the companys AI transformation end-to-end through practical implementation - building, integrating, and scaling AI-driven workflows and internal tools that improve efficiency, quality, and business performance across all departments.
What Youll Do:
Build & Implement AI Solutions (Core Focus):
Design, build, and deploy AI-powered workflows, automations, and internal tools
Develop rapid POCs and evolve them into production-ready solutions
Work hands-on with LLMs, APIs, and automation frameworks
Ensure solutions are scalable, maintainable, and aligned with system architecture
Integrate with Systems & Architecture:
Integrate AI solutions into existing platforms (CRM, support systems, internal tools, data flows)
Design robust integrations using APIs and orchestration layers
Ensure alignment with engineering standards, security, and data integrity
Drive Cross-Company Impact:
Identify high-value use cases across R&D, Support, Sales, Domain, and Operations
Translate business workflows into efficient, AI-driven processes
Partner with stakeholders to ensure solutions solve real problems
Own Adoption & Impact:
Ensure solutions are used, not just built
Define and track KPIs (efficiency, time saved, quality improvements, adoption rates)
Continuously iterate based on feedback and real-world usage
Enable & Standardize:
Establish best practices for AI usage across the company
Guide teams on how to effectively use AI tools in their daily work
Act as the internal expert for AI workflows, tools, and capabilities
What Success Looks Like (First 3-6 Months):
Delivered multiple production-level AI solutions with measurable business impact
Reduced manual work and improved efficiency across at least 2-3 departments
Successfully integrated AI workflows into core systems and daily operations
Achieved strong adoption across teams (beyond experimentation).

As a Machine Learning Scientist, you will design, build, and deploy advanced models that guide pricing and promotional optimization across us. You will work closely with other scientists, engineers, analysts, and product teams to translate complex business challenges into scalable, data-driven solutions that deliver measurable impact.

Key Job Responsibilities and Duties:

Develop and deploy models for causal inference, uplift estimation, and optimization to measure and maximize the incremental effect of price and promotion decisions.

Design and improve dynamic pricing algorithms that balance competitiveness, conversion, and profitability.

Contribute to the development of platform capabilities, enhancing experimentation, simulation, and decision-support capabilities.

Partner with product and business stakeholders to translate scientific insights into actionable strategies.

Stay up to date with the latest advances in machine learning, causal modeling, and pricing optimization, and apply them pragmatically at scale.

Designs and develops integrated circuits. Oversees definition, design, verification, and documentation for ASIC development. Determines architecture design, logic design, and system simulation. Defines module interfaces/formats for simulation. Contributes to the development of multidimensional designs involving the layout of complex integrated circuits. Evaluates all aspects of the process flow from high-level design to synthesis, place and route, and timing and power use. Analyzes equipment to establish operation data, conducts experimental tests, and evaluates results. May also review vendor capability to support development.
- Knowledge: Having wide-ranging experience, uses professional concepts and company objectives to resolve complex issues in creative and effective ways.
Strong project management skills
Leads design and delivery of new
products/process
Functional breadth and depth, plus expert in complementary fields
Applies broad concepts and theories to achieve innovative and effective solutions to complex problems - Job Complexity / Contribution : Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results. Networks with key contacts outside own area of expertise.
Will champion significant projects, programs and business initiatives using demonstrated creativity and ingenuity
Team leader
Leads major projects
Influences or impacts others'
priorities, decisions or activities
Escalation point for complex issues
Coaches and mentors other junior team members - Supervision : Incumbents provide a leadership role for the work group through knowledge in his/her area of specialization. Generally free to determine work priorities based on general direction from managers.
Determines methods and procedures on new assignments
Consults with management on long-range goals
Determines own priorities, both tactical and strategic

As a Senior Machine Learning Scientist, you will work closely with engineers and product to design, develop, evaluate and deploy Gen AI powered solutions for scalable, customer-facing applications. Your work will focus on applying state-of-the-art agentic capabilities and driving business impact based on rigorous evaluations and experimentation.



Key Job Responsibilities and Duties:

Design end-to-end agentic systems, delivering high-quality, performant, and efficient solutions to production

Build agentic solutions for different tasks and use cases using state-of-the-art techniques

Develop and carry out evaluation strategies, including formulating new metrics and building evaluation judges

Pioneer and promote best practices and adoption of new technology in GenAI application development

Lead and mentor other team members, providing technical guidance and timely feedback to develop the team and motivate them to achieve their goals.

Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into ML solutions.

Conduct deep data analysis to evaluate model performance, label quality, features exploration.

Work closely with ML engineers to ensure and improve the solutions latency/throughput meets product requirements and ensure deployment of your model to production.

abra R&D is looking for a QA Engineer! Key Responsibilities:
* Execute manual, regression, integration, and end-to-end testing.
* Validate bug fixes and support release validation and rollout testing.
* Investigate customer-reported issues and reproduce defects for troubleshooting and resolution.
* Perform hardware and sensor validation activities.
* Create, maintain, and update test cases and test documentation.
* Support test automation initiatives and maintain existing automated test suites.
* Assist with Jenkins job validation and vulnerability testing activities.
* Collaborate closely with Development, DevOps, and Support teams to ensure product quality.
* Identify, document, track, and verify defects throughout the testing lifecycle.

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 are looking for an experienced, creative with an exceptional mathematical thinking and highly motivated C++ Team Leader for Machine Learning & Computer Vision implantation, to join our top-notch software group. In this position, you will lead a team of developers designing and implementing high-performance DSP, Image Processing, Deep Learning and Computer Vision algorithms, using the most advanced technology such as the newest Nvidia platforms, advanced C++, and modern development procedures and tools. The team works intensively with the algorithms engineering teams, converting algorithms, and making them suitable to be used on real-time system.

Advantages:

* Experience working in multidisciplinary environments.
* Hands on experience with Python and Bash development.
* Familiarity with TensorRT framework.
* Familiarity with Git, Jira.
* Familiarity with OpenCV.
* Familiarity with CUDA and NVIDIA platforms.

Landa is seeking a highly skilled and hands-on Backend .NET Developer to join our agile R&D team. In this role, you will design, develop, and maintain enterprise-grade software systems with integrated hardware components, leveraging modern Microsoft .NET technologies.

Responsibilities:
· Provide technical leadership and mentorship to development team members. · Design, develop, and maintain scalable enterprise-grade software solutions. · Promote and enforce high standards of software quality, development best practices, and coding standards. · Participate in architecture discussions, solution design, and peer code reviews. · Drive best practices in clean code, design patterns, code reuse (DRY), and code review processes. · Collaborate on modernization and migration of legacy applications to modern technology stacks. · Troubleshoot and provide remote support for production and field systems when required. · Act as a technical advocate for innovation, continuous improvement, and emerging technologies.

Attributes:
· Strong problem-solving, debugging and troubleshooting skills. · Excellent interpersonal skills with the ability to work cooperatively in a team environment as well as with cross-organizational functions (other developers, testing, engineering, and customer support). · Hands-on, proactive, and highly accountable. · Strong technical leadership with a collaborative mindset. · Strong mentoring and coaching abilities, with a collaborative approach to knowledge sharing and team development. · Detail-oriented with a strong commitment to software quality and maintainability. · Curious, adaptable, and open to continuous learning. · Comfortable working in dynamic environments and balancing strategic thinking with execution. · Clear and effective oral and written English communication skills.

Cardo Systems is a provider of cutting-edge communication and connectivity devices and applications for powersports and outdoor enthusiasts. In 2026, Cardo is proudly unveiling its Beyond Helmet line, the first of its kind in the motorcycle industry, fostering a new age in safety, sound, and communications. After pioneering the world’s first Bluetooth-based wireless intercom headset in 2004, Cardo has been responsible for many of the industry’s innovations, revolutionizing communication, pushing technological boundaries, and enhancing user safety. Now sold in over 100 countries, Cardo is proud to be the world’s leading communication device for groups in motion. We are seeking a highly skilled and product-oriented Mobile Developer with a strong AI-driven development mindset to join our engineering team. In this role, you will design, build, and maintain high-quality mobile applications while leveraging modern AI-assisted development tools to accelerate delivery, improve code quality, and enhance engineering efficiency. You will play a key role in shaping mobile experiences across iOS and Android platforms, working closely with cross-functional teams to deliver scalable, user-centric solutions. This position is ideal for an experienced developer who combines deep mobile engineering expertise with hands-on experience integrating AI into the software development lifecycle — from code generation and testing to debugging and optimization. Full-time position in a hybrid model (from the company’s offices in Raanana / from home). Mobile Application Development Design, develop, test, and maintain high-quality mobile applications for iOS and Android platforms. Own features end-to-end, from architecture and implementation through testing, release, and ongoing maintenance. AI-Driven Development Leverage AI-assisted development tools for code generation, refactoring, debugging, testing, documentation, and technical research. Review, validate, and enhance AI-generated code to ensure high standards of performance, security, reliability, and maintainability. Continuously explore and adopt new AI tools and workflows to improve development efficiency and product quality. Architecture & Technical Ownership Translate product and business requirements into scalable, maintainable mobile solutions. Take ownership of architectural decisions, code quality, and technical direction within the mobile domain. Contribute to code reviews, CI/CD improvements, and release processes. Integration & Product Delivery Integrate third-party APIs, backend services, and AI-powered capabilities into mobile applications. Collaborate closely with Product, Design, Backend, and QA teams to deliver high-impact features aligned with business goals. Engineering Excellence Apply best practices in software engineering, including clean code, version control, testing, and continuous integration. Ensure applications meet high standards of usability, performance, security, and reliability. Stay up to date with advancements in mobile technologies, AI developer tooling, and modern engineering practices.

Who We Are: Incredibuild empowers developers to radically accelerate their work by shortening build times, enabling more iterations, and speeding up product releases. Thousands of customers - including world-leading brands - rely on our platform to streamline and accelerate everything from compilation to release automation, resulting in major resource savings and faster time-to-market. We’ve helped over 200,000 developers at companies like Microsoft, Samsung, Nintendo, Amazon, and many others build some of the world’s most impactful software across gaming, financial services, embedded systems, and more. As a Sales engineer , you will partner with enterprise customers to design and deliver solutions that accelerate CI/CD pipelines and developer productivity. This is a customer-facing, pre-sales role combining deep technical expertise (backend systems, CI/CD, DevOps) with strong business and communication skills. You will lead technical discovery, run POCs, and act as a trusted advisor throughout the sales cycle and early onboarding.
?Key Responsibilities:
* Own the technical engagement from discovery through POC and rollout
* Analyze customer CI/CD and build environments to identify bottlenecks
* Design scalable solutions leveraging Incredibuild across backend and DevOps ecosystems
* Build ROI-driven value propositions using performance metrics
* Partner with Sales, Product, and Engineering to drive successful deployments
* Create reusable assets (POCs, best practices, demos)
* Support early-stage onboarding and expansion

Nuvoton Technology Israel, located in Herzliya, is looking for an Experienced Embedded Linux Kernel Developer to join its BMC Software development team. Nuvoton is a worldwide leader of BMC (Baseboard Management Controller) SOCs, used in Enterprise and Data Centers Servers. Our customers are Tier-1 Enterprise Server vendors and CSPs (Cloud Service Providers). As a Nuvoton employee, you will be a part a global team that develops embedded software solutions for application processors, security processors, TrustZone/OPTEE and embedded I/O processors. Responsibilities: - Design, develop, enhance, and maintain Linux BSP for Nuvoton’s BMC SOC - Collaborate with software, hardware, validation, and architecture teams - Collaborate with community and customers on open-source projects - Participate in Pre (on emulation system) and Post silicon activities. - Participate in customers engagement, including design and code reviews, new features development, issues debug and resolution

Appdome’s mission is to protect every mobile app in the world and the people who use mobile apps in their lives and at work. Appdome provides mobile brands with the only patented, centralized, data-driven Mobile Cyber Defense Automation platform, delivering rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events™ threat-aware UI/UX control, ThreatScope™ Mobile XDR, and Certified Secure™ DevSecOps Certification in one integrated system. With Appdome, mobile developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, test, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from inside mobile DevOps and CI/CD pipeline. Leading financial, healthcare, m-commerce, consumer, and B2B brands use Appdome to upgrade mobile DevSecOps and protect Android & iOS apps, mobile customers, and mobile businesses globally. Today, Appdome's customers use their platform to secure over 50,000+ mobile apps with protection of over 1B mobile end users projected.
We are seeking a driven and results-oriented Frontend Developer (Angular) to join our team. In this role, you will focus on acquiring new customers, building trusted relationships, and driving revenue growth by understanding prospects’ mobile business and security objectives and aligning them with our solutions. The ideal candidate is a proactive communicator with strong interpersonal skills and a solid technical foundation. You excel at managing complex enterprise sales cycles and thrive in a dynamic environment that demands collaboration across teams and effective engagement with stakeholders via phone, email, and in-person interactions. ?About the Role
Join the Application And Enablement group and evolve our Angular-based console and internal design system This is a production system used by enterprise customers, and your work will ship to production frequently. You’ll ship new components, keep the system up to date, and improve the platform’s performance in a complex, fast-moving product.
?What you’ll do
* Build and ship Angular + TypeScript features with RxJS at their core.
* Design, implement, and document reusable Design System components using Tailwind Storybook , and PrimeNG
* Partner with Backend and Data engineers to deliver responsive, secure UIs for data-heavy workflows.
* Drive performance improvements across the platform.
* Own code health: testing, refactoring, and incremental migration as the product grows.