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Required Senior ML Data Engineer
Jerusalem
Full time
The AI Engineering group builds modern infrastructure and solutions that improve how algorithms are developed.
We are a small, independent team of experienced engineers with a mix of skills in algorithms, software, and infrastructure. We work in a DevOps style and build cross-team solutions that support research and development of advanced perception algorithms.
Our flagship project is a unified AV dataset used to train and evaluate next-generation models. We take large volumes of multi-camera video, object labels, HD maps, and sensor data from across the organization, and turn it into a curated, high-quality training set - at scale.
We are looking for someone who brings ML and computer-vision depth to the team - someone who can help shape the intelligence layer that decides what data is worth training on.
What will your job look like:
Work collaboratively with shared ownership. Your focus area will be the curation and ML side of our data pipeline, but you will contribute across the full stack alongside the rest of the team.
Build and improve the curation pipeline - from vision-model embeddings and scene detection, through VLM-based scene analysis, to scoring, deduplication, and sampling that produces a balanced and diverse dataset.
Run and optimize GPU inference at scale (embedding extraction, VLM inference) across thousands of driving sessions using workflow orchestration.
Develop scoring and sampling strategies that ensure rare but important scenarios (night driving, adverse weather, hazardous situations) are well-represented in the final dataset.
Work with algorithm teams to understand what data gaps hurt model performance and translate those into curation criteria.
Build validation and diagnostics that measure dataset quality - not just pipeline health, but whether the data is actually good for training.
Contribute to the core dataset SDK, converter, and 3D-geometry tooling (camera projection, calibration, coordinate transforms).

Required Senior ML Data Engineer
Ramat Gan
Full time
The AI Engineering group builds modern infrastructure and solutions that improve how algorithms are developed.
We are a small, independent team of experienced engineers with a mix of skills in algorithms, software, and infrastructure. We work in a DevOps style and build cross-team solutions that support research and development of advanced perception algorithms.
Our flagship project is a unified AV dataset used to train and evaluate next-generation models. We take large volumes of multi-camera video, object labels, HD maps, and sensor data from across the organization, and turn it into a curated, high-quality training set - at scale.
We are looking for someone who brings ML and computer-vision depth to the team - someone who can help shape the intelligence layer that decides what data is worth training on.
What will your job look like:
Work collaboratively with shared ownership. Your focus area will be the curation and ML side of our data pipeline, but you will contribute across the full stack alongside the rest of the team.
Build and improve the curation pipeline - from vision-model embeddings and scene detection, through VLM-based scene analysis, to scoring, deduplication, and sampling that produces a balanced and diverse dataset.
Run and optimize GPU inference at scale (embedding extraction, VLM inference) across thousands of driving sessions using workflow orchestration.
Develop scoring and sampling strategies that ensure rare but important scenarios (night driving, adverse weather, hazardous situations) are well-represented in the final dataset.
Work with algorithm teams to understand what data gaps hurt model performance and translate those into curation criteria.
Build validation and diagnostics that measure dataset quality - not just pipeline health, but whether the data is actually good for training.
Contribute to the core dataset SDK, converter, and 3D-geometry tooling (camera projection, calibration, coordinate transforms).

We are looking for a Senior AI Engineer to join a strong and dynamic AI Engineering team. We are the focal point for AI initiatives, striving to constantly bring innovation and leverage AI capabilities across all company teams and products.
Today, AI is central to how we operate, across the entire organization. It allows us to move fast and release features at a rapid pace, empowers non-technical Forterians to utilize AI tools for increased efficiency, and provides the backdrop for much of the innovation currently occurring in the company.
If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position.
Why should you join us?
This is a great opportunity to be at the cutting edge of the AI revolution, helping to shape and build the AI platform for the future. Together, well build infrastructure for autonomous and interactive agents, enact AI guardrails and evaluation frameworks to ensure performance and safety, and implement state-of-the-art
AI and Agentic patterns.
This role presents a unique opportunity to enter the AI domain. For those with some experience in AI infrastructure, it offers the chance to grow within a team that is evolving us from the AI experimentation phase to building and leveraging AI-powered products.
What you will be doing:
Design, build, and maintain reusable AI capabilities - including models, tools, APIs, and platforms that power both internal and customer-facing solutions.
Develop and maintain our internal MCP server that easily and securely exposes our vast data stores to AI agents.
Create and implement robust evaluation frameworks and AI guardrails to safeguard our value and ensure model reliability.
Establish deep expertise and sustainable AI engineering practices.
Promote AI readiness and track adoption across the company to build lasting impact.
Build and optimize RAG (Retrieval-Augmented Generation) systems.
Take full ownership of projects: from gathering requirements from non-technical internal users to development, deployment, and operation.
Act as a consultant and advocate for AI engineering, helping other teams leverage the platforms and tools you build.
Partner with teams across to accelerate AI adoption and productization efforts.

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. About The Position We are looking for a talented Mobile Fraud Engine to join Appdome. In this role, you will develop sophisticated fraud detection and prevention components that operate at the core of our mobile threat intelligence platform — diving into signal processing, risk evaluation logic, and real-time decision-making, and translating your findings into robust, production-ready code. This position is ideal for developers who want to understand how fraud happens and use that knowledge to build innovative solutions that protect millions of mobile applications worldwide. Job Description
* Design, develop, and maintain core fraud detection and risk-scoring components within mobile apps.
* Investigate fraud patterns and mobile threat signals to develop innovative detection and prevention mechanisms.
* Own the collection of threat and device signals used by risk assessment algorithms to perform device and user behavioral profiling.
* Design systems that make split-second decisions, balancing security accuracy with user experience.
* Continuously explore emerging fraud trends and incorporate new detection techniques into our product.
* Collaborate with a multidisciplinary team of engineers, data scientists, and security experts to deliver end-to-end solutions.

This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from our office.

We are looking for a highly skilled Senior Data Engineer with strong architectural expertise to design and evolve our next-generation data platform. You will define the technical vision, build scalable and reliable data systems, and guide the long-term architecture that powers analytics, operational decision-making, and data-driven products across the organization.

This role is both strategic and hands-on. You will evaluate modern data technologies, define engineering best practices, and lead the implementation of robust, high-performance data solutions-including the design, build, and lifecycle management of data pipelines that support batch, streaming, and near-real-time workloads.

What Youll Do

Architecture & Strategy
Own the architecture of our data platform, ensuring scalability, performance, reliability, and security.
Define standards and best practices for data modeling, transformation, orchestration, governance, and lifecycle management.
Evaluate and integrate modern data technologies and frameworks that align with our long-term platform strategy.
Collaborate with engineering and product leadership to shape the technical roadmap.

Engineering & Delivery
Design, build, and manage scalable, resilient data pipelines for batch, streaming, and event-driven workloads.
Develop clean, high-quality data models and schemas to support analytics, BI, operational systems, and ML workflows.
Implement data quality, lineage, observability, and automated testing frameworks.
Build ingestion patterns for APIs, event streams, files, and third-party data sources.
Optimize compute, storage, and transformation layers for performance and cost efficiency.

Leadership & Collaboration
Serve as a senior technical leader and mentor within the data engineering team.
Lead architecture reviews, design discussions, and cross-team engineering initiatives.
Work closely with analysts, data scientists, software engineers, and product owners to define and deliver data solutions.
Communicate architectural decisions and trade-offs to technical and non-technical stakeholders.

Exposure Analyst (Customer-Facing)
About XM Cyber: XM Cyber is a leading hybrid cloud security company that’s changing the way organizations approach cyber risk. We transform exposure management by showing our customers exactly how attackers might combine misconfigurations, vulnerabilities, and identity exposures across cloud and on-prem environments to compromise critical assets. With XM Cyber, our customers can see all the ways attackers might get in—and the best ways to stop them with a fraction of the effort. About You & The Role: Are you someone who loves connecting with people just as much as you love talking tech? We are looking for a highly empathetic, customer-focused Exposure Analyst to join our managed services team. In this role, you’ll be the friendly face and trusted advisor helping our premium customers get the absolute best out of the XM Cyber platform. You’ll dive deep into security postures, translate complex attack paths into simple, actionable steps, and build the kind of trust that makes IT and Security teams excited to work with you. Responsibilities: Be the Trusted Advisor: Own the primary technical relationship for a portfolio of enterprise and mid-market customers, establishing yourself as their go-to security partner representing XM Cyber in the customer’s organization. Daily Posture Reviews & Action: Conduct daily reviews and analyses of your customers' security postures using the XM Cyber platform. You'll turn complex findings into clear, risk-based insights and proactively open remediation tickets. Weekly Check-ins & Deep Dives: Lead engaging weekly calls with your customers, hosting targeted deep-dive sessions to guide them on configuration, best practices, and new features to ensure optimal ROI. Bridge the Gap: Drive remediation outcomes by pushing discussions directly with the customer’s IT, DevOps, and Cloud teams—not just their security teams—helping them prioritize efforts based on attack path analysis. Deliver the Big Picture: Proactively track progress and provide monthly reports to both technical and executive stakeholders. You’ll also co-host Executive Business Reviews (EBRs) alongside our Customer Success team. Champion the Customer: Act as the lead technical escalation point, partnering with our internal R&D, Product, and Support teams to make sure your customers' needs are always heard and resolved.

We are seeking a highly skilled and motivated Electrical Validation (EV) Team and System Testing / ATE Team Leader to join our team. This position is crucial in supporting the design, development, and implementation of Automated Test Equipment (ATE) and production test systems.
The Electrical Validation team Lead manages the electrical validation function across our company hardware platforms. This role owns the validation strategy, methodology, lab infrastructure, and execution across all high-speed and control interfaces. The manager ensures robust electrical performance from early prototypes through production release and drives cross-functional alignment between design, SI, firmware, and manufacturing.
The role involves close collaboration with the HW R&D team, Quality, DevOps, and Contract Manufacturing (CM) teams to ensure the delivery of high-quality, reliable products.
This group is part of the HW R&D group.
Key Responsibilities
Define the electrical validation strategy for our company hardware platforms.
Own validation methodology for: High-speed Ethernet (100M-1600G), PCIe Gen1 to Gen5+, SerDes architectures (NRZ/PAM4), Control and management buses (I2C, SPI, RS-232, MDIO, etc.)
Establish structured validation plans aligned with hardware release milestones.
Build and manage a high-performance validation team.
Define lab architecture, including: Equipment selection (oscilloscopes, BERTs, analyzers), Compliance platforms, Automation frameworks, Signal integrity validation environments
Drive early engagement with board design and SI teams to ensure design-for-validation.
Oversee: Compliance (IEEE, PCI-SIG, OIF), Interoperability testing, Stress and margin testing
Lead root cause analysis of electrical failures and systemic issues.
Support NPI, manufacturing bring-up, and yield improvement.
Develop automation and scalable validation methodologies.
Define validation documentation standards and sign-off criteria.
Collaborate with system architecture and software teams to ensure HW-SW integration robustness.
Manage external labs and certification processes where required.
Drive continuous improvement of validation coverage and efficiency.
Lead the full ATE development lifecycle from requirements definition to execution in production, including GUI design and Python scripting.
Develop and maintain boundary scan applications using JTAG Technologies.
Define and maintain test fixtures, including JIGs/Bed-of-Nails, etc., in collaboration with mechanical vendors.
Implement full test traceability systems for production yield and stability monitoring.
Collaborate with R&D and Quality teams to drive product quality and reliability improvements.
Provide onsite support at CM sites, including station setup, installation, training, maintenance, and debugging.
Perform in-depth failure analysis and troubleshooting at the system and component level.
Utilize and maintain a range of test equipment, including:
Work with various communication protocols: TCP/IP, Telnet, SSH, HTTP, SNMP, SFTP, SCP, FTP, RS232, GPIB, I2C, and NI-VISA.
Support testing of embedded systems running on Linux platforms.

We are seeking a highly skilled and motivated Electrical Validation (EV) and System Testing Engineer to join our team. This position is crucial in supporting the design, development and full testing.
The Electrical Validation team Lead manages the electrical validation function across our company hardware platforms. This role owns the validation strategy, methodology, lab infrastructure, and execution across all high-speed and control interfaces. The manager ensures robust electrical performance from early prototypes through production release and drives cross-functional alignment between design, SI, firmware, and manufacturing.
The role involves close collaboration with the HW R&D team, Quality, DevOps, and Contract Manufacturing (CM) teams to ensure the delivery of high-quality, reliable products.
This group is part of the HW R&D group.
Key Responsibilities
Define the electrical validation strategy for our company hardware platforms.
Own validation methodology for: High-speed Ethernet (100M-1600G), PCIe Gen1 to Gen5+, SerDes architectures (NRZ/PAM4), Control and management buses (I2C, SPI, RS-232, MDIO, etc.)
Build and manage a high-performance validation team.
Define lab architecture, including: Equipment selection (oscilloscopes, BERTs, analyzers), Compliance platforms, Automation frameworks, Signal integrity validation environments
Drive early engagement with board design and SI teams to ensure design-for-validation.
Oversee: Compliance (IEEE, PCI-SIG, OIF), Interoperability testing, Stress and margin testing
Lead root cause analysis of electrical failures and systemic issues.
Define validation documentation standards and sign-off criteria.
Implement full test traceability systems for production yield and stability monitoring.
Collaborate with R&D and Quality teams to drive product quality and reliability improvements.
Utilize and maintain a range of test equipment, including:
Work with various communication protocols: TCP/IP, Telnet, SSH, HTTP, SNMP, SFTP, SCP, FTP, RS232, GPIB, I2C, and NI-VISA.
Support testing of embedded systems running on Linux platforms.

We are currently looking for an Implementation Consultant (m/f/d) to join our talented Polarion Services team in Israel. In this role you will be responsible for designing, developing, implementing, and supporting our ALM Product, Polarion.
You will have the opportunity to work on some of the largest ALM projects in the region, often within regulated environments.
A security classification is required for this position. Candidates with a valid, existing security classification are preferred.
We are happy to train you up in our market-leading ALM product.
This role can be based Airport City, Israel. Hybrid working is available, but you must be willing to travel to our customer sites.
How will you shape the world of tomorrow? Digitally and with a future-oriented mindset!
Participate in large Polarion implementation projects for Israeli customers
Understand the goals of the project workstream to which you are assigned, the breakdown of project tasks, and be able to explain the workstreams relationship to the overall solution
Design, configure, test, support data migration, and provide production and post-production support
Support knowledge transfer (deliver training courses, user guides, coaching of Polarion key users)
Provide ongoing troubleshooting and user support
Support the documentation and development of standard methodologies, Polarion best practices, templates, workflows, project structures, and the further development of our knowledge base
Work closely with technical and business stakeholders to align Polarion configuration with customer processes and compliance needs.

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, release automation, and Agentic Dev Cycles. We are looking for a GTM Engineer to own and develop our technical growth and revenue engine. You will be the architect of our go-to-market infrastructure, securing our competitive advantage by building the agentic workforce that power our funnel. This is a highly technical role for someone who wants to apply engineering principles to marketing and sales, replacing manual processes with sophisticated, AI-driven automation. Key Responsibilities:
* Funnel Architecture & Development: Own the data pipelines across the business unit toolchain (SFDC, HubSpot, PostHog, Gong, etc.) and user behavior usage to provide reliable data visibility and high velocity lead and user engagements.
* Outbound workflows: Build automated outbound agents to prospect and acquire leads, relying on inbound, website, and social analytics using tools like Hey-Reach, ZoomInfo and others.
* Cross-team alignment: Build internal triggers that notify Marketing, Sales, and CS stakeholders on key usage events to allow improved outreach.
* Market Intelligence: Develop AI agents to monitor market trends, analyze customer/prospect sentiment, driving qualitative data into actionable marketing plays.
* Generative Content Engine: Create and manage AI agents that leverage SEO/GEO data and market trends to accelerate PMMs creation of high-intent content delivery.
* Team Efficiency: Develop internal marketing and sales tools to resolve operational bottlenecks and eliminate the "manual tax" on the team.