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We are seeking a Senior AI Engineer to join core product organization, where you will design, build, and scale next-generation AI systems powering real-world cybersecurity use cases across our diverse product portfolio (Posture, Detection, and CTI). This role focuses on developing production-grade systems leveraging LLMs, advanced machine learning, and agent-based architectures.
You will join a team within Cyber R&D organization-leading the companys core product portfolio- while driving AI innovation and establishing engineering best practices across the domain. The team focuses on building and optimizing large-scale AI systems, including LLM-based solutions and advanced multi-agent workflows, working closely with data scientists and researchers to bring ideas into production.
The Responsibilities:
Design, build, and own end-to-end AI solutions- from data collection and preprocessing to model training, evaluation, and production deployment.
Optimize systems for performance, scalability, and reliability in production environments.
Collaborate closely with product, design, and engineering teams to identify and deliver AI-driven capabilities that address real customer needs.
Stay up to date with emerging AI/ML technologies, frameworks, and best practices, and apply them where they create real impact.
Work across the stack, contributing to backend systems and data pipelines that support large-scale AI applications.
Troubleshoot and resolve complex system issues, including performance bottlenecks, race conditions, and memory-related challenges.
Approach problems with a strong analytical mindset, delivering robust solutions while contributing to a high-performing, collaborative team environment.

we are looking for a Research Scientist - Sovereign AI Research.
We are hiring across the following specializations. We expect depth in at least one area and the intellectual range to collaborate across them.
Computer Vision: object detection, segmentation, multimodal grounding, vision-language models, contrastive and self-supervised representation learning, low-resource and few-shot visual recognition.
NLP / Speech: LLMs, NERs, relation extraction, span-based and generative IE, semantic textual similarity, multilingual and cross-lingual transfer.
Reinforcement Learning: MDPs, POMDPs, model-based and model-free RL, Online Offline methods, reward modeling, sim-to-real transfer, compute-aware planning.
Graph Learning: GNNs, graph clustering, community structure, generative methods, knowledge graph embeddings, dense and sparse semantic retrieval.
Optimization: convex and nonconvex optimization, constrained and Lagrangian methods, combinatorial and integer programming, knowledge distillation (response, feature, and relation-based), test-time optimization, Bayesian optimization, resource-aware inference.
Representation Learning: contrastive learning, self-supervised and unsupervised pre-training, disentangled representations, metric learning and embedding spaces, cross-modal and multimodal alignment, meta learning (hypernetworks), transfer learning and domain adaptation, probing and interpretability of learned representations, world models.
Neurosymbolic AI: neuro-symbolic integration, differentiable theorem proving, inductive logic programming (ILP), probabilistic soft logic (PSL), causal inference and structural causal models (SCMs), programmatic and compositional reasoning
Responsibilities:
Define and execute a research within your track, experiments, quality gates, and upper bounds in rigorous manner.
Collaborate across tracks on system integration and cross-disciplinary research.
Collaborate work with engineering teams until production.
Mentor junior researchers and contribute to a culture of technical excellence

we are looking for a Research Infra Engineer.
As a Research Infra Engineer, you will build and operate the shared platforms that power cyber research: data ingestion, connectivity to internal/external systems, scalable analysis environments, and self-serve tools which allow the team moving faster.
Youll partner closely with CyberAI researchers to translate research needs into reliable, secure, cloud-deployed capabilities used across the group. Your goals are to reduces research-toil, improves reproducibility and code quality, and accelerates the path from prototype to shared capability.
The Responsibilities:
Design, implement, and iterate on internal platforms that support research workflows (e.g., data ingestion, enrichment, indexing, search, labeling, evaluation harnesses, experiment tooling).
Develop durable pipelines and connectors to bring in and normalize research data sources.
Create reusable libraries, templates, CLIs, and services that enable researchers to run analyses and experiments safely and repeatably.
Own deployments, reliability, observability, access control, and cost/performance of the research stack so its usable by all researchers.
Work closely with CyberAI researchers on the development of next-generation artificial cyber researchers and AI-driven analysis capabilities.

Were looking for a Python Engineer who is passionate about building high-quality software and solving complex technical challenges. In this role, you'll design and develop production-grade Python services that integrate with third-party devices and platforms, enabling reliable data collection at scale. The systems you build will power our AI platform, providing the critical data foundation behind our products.
The Responsibilities:
Design and deliver production-grade, high-quality and robust code.
Research a wide range of software and network devices to find the best data collection solutions.
Collaborate with customers to resolve issues and expand collection portfolio.
Prioritize collection capabilities together with our product team based on customers needs and define milestones.
Work effectively within a team, contributing to a collaborative and innovative development environment.

we are a rapidly growing, award-winning B2B tech unicorn with an ambitious mission to revolutionize the payroll & payments industry. With over $400M raised from multiple tier-one investors, our innovative technology provides a comprehensive solution for managing global workforces, encompassing everything from hiring and onboarding to managing and paying employees in over 160 countries.
We're building AI to tackle one of the hardest operational challenges in business: getting workforce management right across many markets, each with its own tax rules, labor laws, payment rails, and constantly shifting policies.
In this role on our AI team, you'll build and scale core AI systems that power our company's products. You'll work across agentic document intelligence, autonomous agents, compliance AI, and ML-powered insights, prototyping quickly, building robust evaluations, and shipping production-grade AI with real business impact.
What You'll Do
Build and ship AI/ML solutions using LLMs, agents, RAG, and document understanding models, alongside classic ML
Prototype quickly, validate feasibility, and turn strong POCs into production systems
Evaluate models and architectures, apply testing and guardrails to improve agent and service reliability
Research and apply emerging techniques: multimodal/document AI, agentic frameworks, synthetic data generation, and new architectural approaches
Work cross-functionally with product, R&D, and compliance teams to deliver end-to-end solutions
Contribute to scalable, secure architecture and engineering best practices for AI delivery.

Were looking for a data-driven and business-savvy Analyst to join our growing data team.
In this role, youll work closely with our Marketing, Finance, and Sales teams to analyze performance, connect marketing and financial data, and build models that support strategic decisions.
Youll play a key role in translating data into clear business insights that drive growth, efficiency, and profitability.
Key Responsibilities
Partner with Marketing, Finance, and Sales teams to analyze performance, efficiency, and ROI.
Evaluate UA spend, ROAS, and growth metrics across channels, campaigns, and regions.
Build and maintain dashboards and reports in Cursor, Tableau and Looker to track key business and financial KPIs.
Develop and maintain risk models that help guide company decisions and improve forecasting accuracy.
Conduct cohort and funnel analysis to identify performance trends and growth opportunities.
Collaborate with Data engineering and finance teams to align top level metrics with company financial reporting.
Present actionable insights and recommendations that influence both strategy and operations.

we are looking for a Applied AI Researcher.
The Dream-Maker Responsibilities
Open Research Tracks
Familiarity with at least one is expected:
Computer Vision: object detection, segmentation, multimodal grounding, vision-language models, contrastive and self-supervised representation learning, low-resource and few-shot visual recognition.
NLP / Speech: LLMs, NERs, relation extraction, span-based and generative IE, semantic textual similarity, multilingual and cross-lingual transfer.
Reinforcement Learning: MDPs, POMDPs, model-based and model-free RL, Online Offline methods, reward modeling, sim-to-real transfer, compute-aware planning.
Graph Learning: GNNs, graph clustering, community structure, generative methods, knowledge graph embeddings, dense and sparse semantic retrieval.
Optimization: convex and nonconvex optimization, constrained and Lagrangian methods, combinatorial and integer programming, knowledge distillation (response, feature, and relation-based), test-time optimization, Bayesian optimization, resource-aware inference.
Representation Learning: contrastive learning, self-supervised and unsupervised pre-training, disentangled representations, metric learning and embedding spaces, cross-modal and multimodal alignment, meta learning (hypernetworks), transfer learning and domain adaptation, probing and interpretability of learned representations, world models.
Neurosymbolic AI: neuro-symbolic integration, differentiable theorem proving, inductive logic programming (ILP), probabilistic soft logic (PSL), causal inference and structural causal models (SCMs), programmatic and compositional reasoning
Responsibilities:
Train and evaluate models across research tracks, iterating fast while documenting rigorously.
Build and maintain benchmarking pipelines and evaluation suites.
Curate, structure, and preprocess datasets; contribute to synthetic data generation workflows.
Run ablations and controlled experiments to support research hypotheses.
Reproduce and stress-test results from recent literature relevant to the group's work.
Collaborate across tracks and with engineering teams through to production handoff.

We Are more than a Professional Services firm, we are a community of people driven by impact. As a leading firm providing Audit, Tax, and Advisory services, and part of one of the worlds largest global networks, we work with the most influential organizations in the market, combining deep expertise, innovation, and advanced technology. We are guided by integrity, responsibility, and forward thinking in everything we do. Our people are at the center, with space to lead, grow, and build meaningful careers in a collaborative environment that connects personal success with real value for business and society. We are looking for a SAP Learning & Content Specialist (Freelance) The role focuses on reviewing and enhancing SAP training materials and professional content, adapting them to the local target audience, and creating a high-quality and effective learning experience. The position combines instructional expertise, strong content capabilities, and ongoing collaboration with stakeholders in Israel and abroad. Responsibilities
* Review training materials and professional content, evaluate them, and provide recommendations for improvement and adaptation.
* Analyze, refine, and improve learning content while adapting it to target audiences and local needs.
* Develop and update learning deliverables, including guides, presentations, and training materials as needed.
* Work closely with global stakeholders and internal teams to gather information, collect feedback, and continuously improve content.
* Manage and maintain content within learning systems and support the creation of learning paths.
* Participate in strategic learning projects and knowledge implementation initiatives across the organization.

We empower enterprises and service providers with cutting-edge Storage platforms that redefine performance, reliability, and cyber resilience at scale. We are looking for a highly skilled and visionary C / C ++ Senior Developer to join our dynamic platform team. As a Platform Engineering Architect, you will play a crucial role in the design, development, and technical aspects of our high-performance, multi-threaded, clustered, mission-critical, server-side products, developed primarily in C, Python and C ++ on the Linux platform.
Responsibilities:

* Technical leadership and ownership of large, multi-disciplinary features and changes to our product
* Hardware and Software Integration - Develop software solutions to effectively handle and monitor various hardware components.
*  Linux OS and Driver Enhancement - Support and enhance a customized Linux operating system and drivers that serve as the foundation for our software ecosystem.
* Vendor Collaboration - Collaborate with hardware vendors to support current products and seamlessly integrate new product generations into our platform.
* Communication Interfaces- Design and develop both external and internal communication interfaces for our products.
* Mentoring developers in the group as they tackle difficult issues in their work on SW design, implementation or debugging.

abra is Hiring a Configuration Manager About the Role:
* Defining and specifying tools and processes to improve the work environment in configuration management
* Supporting system engineers in projects related to product configuration management
* Assisting mechanical, electronic, electrical, and software engineers with configuration management aspects.
* Defining and specifying interfaces between configuration management tools and factory system environments. System Admin responsibilities for configuration management software.
* Supporting software developers in the development process, ensuring the correct use of configuration management tools ( SVN, ClearCase, TFS
* Assisting developers in optimizing tools to improve the work environment.
* Supporting freezing procedures and release processes , including defining and enforcing configuration management policies. Location: Full-time position in Holon.

We empower enterprises and service providers with cutting-edge Storage platforms that redefine performance, reliability, and cyber resilience at scale. Were looking for passionate and bright individuals who wish to take part in the design, development and all technical-related aspects of our Remote Replication team. The selected candidate will be part of a professional team that develops in C ++ over Linux high-performance, multi-threaded, clustered, mission-critical, server-side products.
Responsibilities:

* Implement new features.
* Optimize the performance of our existing features.
* Understand our most complicated algorithms in order to own, fix and improve our features.

At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. We’re looking for passionate and bright individuals who wish to take part in the design, development and all technical-related aspects of INFINIDAT’s Core team. The selected candidate will be part of a professional team that develops in C++ over Linux high-performance, multi-threaded, clustered, mission-critical, server-side products.

Responsibilities:

* Design, develop, and maintain Core backend services in C++ on Linux.
* Develop and optimize high-scale I/O flows, metadata management, persistence layers, and storage-related data paths.
* Maintain and optimize databases, caching, and configuration-management solutions for clustered environments.
* Develop infrastructure that serves user requests and integrates with higher-level system components.
* Investigate and resolve complex production issues while improving performance, scalability, stability, and resource efficiency.
* Collaborate closely with developers, architects, QA engineers, and product teams throughout the development lifecycle.

We’re looking for a Client Manager with 1-2 years of relevant experience who wants to take the next step in a professional digital agency. The role is ideal for someone who's coming from advertising, digital, social media, influencer marketing, or an in-house marketing team, who enjoys managing tasks, writing briefs, coordinating between teams, and keeping projects on track. You’ll join a multidisciplinary Client Squad and work closely with Media, Creative, SEO, and Data teams.

Responsibilities:

* Manage client tasks, timelines, deliverables, approvals, and follow-up.
* Write briefs and translate client requests into structured tasks.
* Coordinate work between clients and internal professional teams.
* Support creative and media activity, reports, presentations, and client updates.
* Build an understanding of each client’s business and digital activity.
* Gradually take ownership of defined projects, with guidance from the Senior Client Manager and Digital Director.

ISI is looking for an experienced Embedded Software Engineer to join our software team. You’ll be the single owner of the software stack on one of our satellite programs - ground station through flight computer to payloads. The code, the builds, the CI, and the system integration are yours. You’ll work alongside hardware engineers during system bring-up and the wider software team day-to-day. We’re looking for someone who reads documentation and ships independently.

Responsibilities:

* Own the software stack across ground station, flight computer, and payloads
* Maintain Yocto-based payload software: build, package, deploy
* Write and maintain the embedded and host-side software
*  Integrate code contributions from adjacent teams and turn them into shippable software
* Partner with hardware engineers on system bring-up and integration
* Debug across hardware, kernel, and userspace
*  Write and maintain automated tests and technical documentation

Advantages:

* Background in defense or other embedded-system-of-systems environments
* Experience with constrained or resource-limited Linux platforms
* Docker / containerization experience
* Familiarity with embedded interconnect protocols (I2C, SPI, UART, RS422/485) and integrating drivers that use them