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We are seeking a highly motivated and experienced LLM/ML Agentic AI Researcher to lead the technical development of our agentic AI interpretation framework. This hands-on role involves designing, building, and evaluating AI agents that interpret complex biological data.

You will be at the forefront of developing a sophisticated scientific reasoning system that leverages Large Language Models (LLMs) to provide structured, biologically-grounded explanations. Collaborating closely with immunologists, machine learning researchers, and technical leadership, you'll shape how we derive insights at a systems level, pushing the boundaries of AI in biology.

Location: Ramat Gan, Israel (Hybrid role)

What will you do?

Design, prototype, and build LLM-based agentic systems that reason over biological data, scientific literature, model outputs, and internal tools.
Develop agents capable of structured reasoning, hypothesis generation, explanation, planning, tool use, and iterative scientific analysis.
Build robust evaluation frameworks for agentic systems, including automated and human-in-the-loop evaluation pipelines.
Define and implement benchmarks, metrics, and test suites for measuring agent performance, including reasoning quality, biological grounding, factuality, robustness, reproducibility, and usefulness.
Work closely with AI researchers, computational biologists, immunologists, and product teams to translate scientific needs into measurable AI capabilities.
Create evaluation datasets and benchmark tasks that reflect real-world biological and therapeutic reasoning problems.
Analyze agent behavior, failure modes, hallucinations, tool-use errors, reasoning gaps, and grounding issues.
Contribute to the architecture of production-grade AI systems, including agent orchestration, retrieval, tool calling, memory, planning, and monitoring.
Stay up to date with the latest developments in LLMs, agentic AI, evaluation methodologies, and scientific AI systems.
Help turn research prototypes into reliable products used by internal teams and external partners.

We are looking for an experienced Data Infrastructure Team Lead to lead our Data Infrastructure team. In this role, you will have formal people-management responsibility for a multidisciplinary team that builds, productionizes, and improves big data and analytics infrastructure. You will be responsible for team delivery, combining technical depth, agile leadership, and an AI-first mindset to help the team build reliable systems, improve how it works, and continuously raise its engineering standards.

Location: Ramat Gan (Bursa area), Israel - Hybrid model

What will you do?

Lead, manage, and develop a data infrastructure team of approximately 5-7 people.
Take responsibility for team delivery, including planning, prioritization, execution, and continuous improvement.
Lead agile ways of working, including scrum-based delivery practices.
Guide the design, productionization, and ongoing improvement of big data and analytics infrastructure.
Partner closely with cross-functional stakeholders across technical, scientific, and business interfaces.
Help the team adopt AI-first engineering practices, including automation and AI-assisted development workflows.
Drive improvements in team processes, technical quality, delivery predictability, and collaboration.
Support architectural and technical decisions across cloud infrastructure, data pipelines, orchestration, and production systems.
Create an environment where team members can grow, contribute, and improve together.

Were seeking a Head of AI to lead research and engineering for multimodal foundation models and reasoning‑centric systems-from prototyping to reliable, secure, production deployment. The Head of AI will manage deep learning researchers, computational biologists, immunologists and engineers and partner closely with product leaders and company leadership to convert cutting‑edge methods into high‑impact, mission‑critical capabilities.

Location: Ramat Gan, Israel (hybrid model)

What will you do?

Team Leadership & Growth

Lead, mentor, and develop deep learning researchers, computational biologists, and machine learning engineers; set a high bar for scientific rigor, code quality, and delivery.
Establish clear ownership, role definitions, and growth paths; nurture a collaborative, low‑ego culture.
Technical Strategy & Delivery

Own the AI roadmap and architecture; guide model design, evaluation, and productionization (training, serving, observability, safety).
Build scalable pipelines for transformers, multimodal fusion, and reasoning/agent frameworks; champion reproducibility, CI/CD for models, and cost‑efficient GPU/TPU utilization.
Research Integration & Innovation

Stay current with the literature; run journal clubs and technical deep dives.
Evaluate, pilot, and integrate state‑of‑the‑art methods (advanced transformers, retrieval and tool‑use agents, causal/biological reasoning) into robust systems.
Cross‑Functional Collaboration

Translate biological and clinical questions into tractable AI projects with measurable impact.
Communicate complex trade‑offs to peers and executives; align plans, risks, and milestones across functions.
Mission & Impact

Prioritize initiatives that advance patient outcomes and create cumulative platform value.
Balance speed with scientific integrity, security, and compliance.

We are looking for an AI Engineer to play a central role in building, evaluating, and advancing AI models. You will own and evolve benchmarking and evaluation capabilities for foundation models and multimodal systems, while also working closely with modeling teams to support model development, iteration, and validation. This role sits at the intersection of software engineering, model understanding, and applied AI, with broad influence on how models are built, compared, and improved across the organization.

Location: Ramat Gan, Israel (hybrid model)

What will you do?

Own & Evolve Benchmarking - Design, build, and maintain benchmarking suite for foundation models and multimodal AI systems.
Define Core Abstractions - Create clean, extensible abstractions and APIs for datasets, tasks, models, metrics, and evaluation workflows.
Develop Metrics & Evaluations - Implement metrics that capture predictive performance, biological relevance, and multimodal alignment.
Support Model Development - Work closely with AI scientists and data scientists to integrate new models, tweak architectures, and enable rapid, fair iteration.
Bring in New Models & Baselines - Add external and internal models to benchmarks and ensure meaningful comparisons.
Explore Data When Needed - Dive into data and results to debug evaluations, understand model behavior, and unblock modeling work.
Enable Rigor & Reproducibility - Ensure evaluations are consistent, well-versioned, and trustworthy over time.

We are looking for a Staff Architect, Data & AI Infra to shape, build, and scale the infrastructure that powers data, AI, and research platforms. This is a senior player-coach role with broad architectural ownership across data infrastructure, ML infrastructure, developer experience, reproducibility, and production reliability. You will work across the wider engineering group as a hands-on technical architect, while also managing a small team of individual contributors focused on ML infrastructure.

This role is ideal for someone who can move between long-term platform architecture and practical execution: defining standards, building core systems, mentoring engineers, improving reliability, and partnering with Data Engineering, AI/Research, Product Engineering, Security, Bioinformatics, and Leadership to make data and AI platforms scalable, reproducible, secure, compliant, and easier to use.

Location: Ramat Gan, Israel (hybrid model)

What will you do?

Architectural Leadership: Own and evolve the technical roadmap for data and AI platforms, ensuring scalable and reliable architecture that supports current needs and prepares for a multi-cloud future.
MLOps & Platform Development: Design and build end-to-end MLOps systems-covering experimentation, training, reproducibility, and deployment-while managing specialized infrastructure like BigQuery, orchestration tools (Dagster/Airflow), and R/Python workloads.
Infrastructure Strategy: Define and lead strategy for GPU resources (scheduling, utilization, batch compute) and establish engineering best practices, data architecture standards, and platform guardrails.
Developer Experience: Enhance developer productivity by building self-service platforms, automation, internal tooling, and reusable templates that simplify workflows and reduce operational friction.
Team Leadership: Act as a player-coach to mentor engineers and manage a small team of ICs, fostering a culture of sound decision-making and technical excellence across the broader group.
Security & Reliability: Partner with Security to enforce compliance (SOC2, HIPAA, GDPR) and access controls, while mitigating operational risk through improved observability, incident readiness, and robust support processes.

In this role, you will own the research strategy end-to-end - from long-term roadmap design to hands-on exploration, and guide a multidisciplinary team of NLP research engineers and linguists toward breakthroughs that elevate our core medical coding engine.

You will play a key role in the company, balancing exploratory research with high-impact product delivery. You will partner with Product, Engineering, and executive stakeholders to identify strategic opportunities, drive prioritization, and translate research capabilities into real-world outcomes at scale.

Responsibilities:

Manage and mentor a multidisciplinary research team while driving both technical excellence and personal growth.
Define the long-term research roadmap aligned with product and business objectives.
Lead the full research lifecycle, from ideation and feasibility studies to experimentation, evaluation methods, and production-ready delivery.
Evaluate and introduce new research capabilities and emerging trends such as LLM-based reasoning, semantic/graph modeling, hybrid rule-learning, and other frontier techniques.
Continuously track scientific trends to maintain a state-of-the-art research practice.
Collaborate closely with Product and Engineering teams to translate domain challenges into algorithmic solutions with measurable product impact.
Represent the Research function at leadership forums, communicate priorities and outcomes, and align stakeholders around research strategies and milestones.

As part of this role you will, design, develop, and deliver high-quality, scalable, reliable, and extensible products. Work within our multidisciplinary R&D teams (Software Engineers, Linguists and NLP Research Engineers) and with the Product Management team.

This is an exceptionally exciting time to join a real AI company - when the very foundations of NLP are being redefined in front of our eyes. , youll be at the forefront of that transformation, helping to shape the next generation of AI systems that are not only cutting-edge but also deeply impactful.

we are looking for a AI Engineer Team Lead
What will you do?

Own the agentic infrastructure- You're responsible for the architecture of Klaudia's core - the systems that make autonomous investigation, root cause analysis, and self-healing possible at scale.

Build and grow your team- Hire great engineers, mentor them, run meaningful design reviews, and build a culture of high ownership and engineering excellence.

Drive experimental development- Run structured bets - LLM evaluation frameworks, new agent architectures, novel tool-use patterns - and bring the best ones to production.

Stay hands-on You'll design systems, review PRs critically, and write code where it matters. Your technical credibility is the foundation of your leadership.

Shape our AI strategy- Work closely with product and R&D leadership to define what Klaudia becomes next.

we are looking for a talented, hands-on and experienced DevOps Engineer to join our Operations team.

In this role, you will be responsible for ensuring the availability, reliability, and scalability of our production environments, proactively monitoring systems in real time and troubleshooting complex technical challenges. Youll work with modern cloud-native technologies, help improve operational efficiency, and play a key role in maintaining and evolving our infrastructure.

This is an opportunity to work on a fascinating and challenging product, gain exposure to innovative and diverse technologies, and join a fast-growing company that is leading its field. At Upstream, we invest in our people and support both personal and professional growth.

Were looking for someone with strong technical skills, a positive mindset and a constant drive for excellence.

This is a full-time, hybrid role based in Herzliya, Israel.

Responsibilities
Implement and operate large-scale Kubernetes and cloud solutions
Build and maintain infrastructure across AWS / Azure / GCP
Monitor customer infrastructure and production environments
Roll out processes for new services and applications
Enforce and maintain cloud and product security standards
Troubleshoot and resolve technical issues in customer environments
Develop and maintain infrastructure automation tools and workflows
Implement automation processes and AI-driven tools to improve operational efficiency

We are hiring a talented professional to join our Global Marketing Department in a leading and influential role as: Director of Global Digital Marketing

Key Responsibilities

1. Global Digital Strategy & Growth Enablement

Define and lead Caesarstone's global digital marketing strategy
Develop global frameworks, methodologies and operating models that support business objectives
Identify growth opportunities across markets and translate them into scalable programs
Introduce innovative technologies, AI solutions and new engagement models that increase productivity and marketing effectiveness
2. Content, Social Media & Audience Engagement

Define and lead Caesarstone's global digital content strategy across channels and audiences
Own the global social media strategy and governance model
Lead the development of LinkedIn as a strategic brand and influence platform
Evaluate and develop emerging channels and engagement opportunities
Identify opportunities to amplify Caesarstone's reach and influence through business partners, professional communities and strategic collaborations.

3. Digital Effectiveness & Performance Management

Establish global digital KPIs and measurement frameworks
Drive best practices in media investment, agency management and resource allocation
Monitor adoption, effectiveness and business contribution of digital initiatives

we are looking for a talented Application Security Specialist to join our team. In this role, you will take an active part in application penetration testing, threat modeling, Secure SDLC activities, and AppSec initiatives that help evaluate and improve security posture. The position includes hands-on security testing of web, mobile, API, thick client, AI/LLM integrations, and MCP-based application components, identifying and validating vulnerabilities, assessing real business impact, supporting customers with clear remediation guidance, and contributing to application security processes, tools, and best practices.

Responsibilities
Perform hands-on application penetration testing across web, mobile, API, thick client, AI/LLM integrations, and MCP-enabled application components.

Perform threat modeling and secure design reviews to identify risks early in the development lifecycle.

Support development teams with practical remediation guidance and secure implementation recommendations.

Perform Secure Software Development Lifecycle and secure coding training for developers.

Evaluate and improve customers application security development lifecycle, including secure coding practices, vulnerability management, remediation workflows, and security gates.

Participate in client-facing discussions, including assessment scoping, finding walkthroughs, remediation alignment, and retest updates.

we are looking for a security architect to join our team! 
Responsibilities
Perform security maturity assessments, including reviews of organizational policies, standards, procedures, and governance practices, aligned with the NIST CSF 2.0 cybersecurity framework.

Review designed or deployed environments, identifying security flaws and recommending mitigations plans

Review Implementation of technical security controls, identify gaps and offer practical mitigations.

Escort, evaluate and improve our clients security posture by elevating their infrastructure resilience and implement best-practice organizational procedures

Escort mitigation plans and design practical implementations for security issues e.g., firewall policies review, segmentation & segregation recommendations, Microsoft AD-tier Model implementation etc.

Research and advocate for new security solutions and technologies

we are seeking a Cybersecurity Architect (GRC & Risk) to join our cybersecurity architecture team. In this role, you will lead security governance, risk, and control assessments, conduct third-party due diligence, support maturity assessments, and drive mitigation and architectural review processes. Youll work closely with CISOs, security leaders, engineering teams, and customers to develop risk-focused methodologies and improve security frameworks. This position is best suited for candidates with a technical GRC, risk, or security assessment background who excel in analysis, interpretation, and structuring of security information.

Responsibilities
Lead customer third‑party security due diligence assessments.
Lead mitigation workshops to translate penetration test and assessment findings into prioritized remediation workplans.
Perform security maturity assessments, including reviews of organizational policies, standards, procedures, and governance practices, aligned with the NIST CSF 2.0 cybersecurity framework.
Develop and refine security methodologies, processes, and architectural guidance.
Maintain internal documentation and ensure alignment between frameworks, processes, and practical implementation.
Analyze technical findings and map them to governance, risk, and control gaps.
Produce clear, structured reports and executive‑ready summaries for technical and non‑technical audiences.

we are looking for a Cyber Security Expert with hands-on experience in offensive security, possessing strong technical capabilities, in-depth knowledge of adversary simulation, and a passion for Red Team operations.
Responsibilities
Participate in Red Team assessments that simulate real-world threats and remain undetected by the client's defensive team. These stealth operations simulate advanced adversaries and require careful planning, execution, and OPSEC
Lead or co-lead portions of internal and external offensive assessments, including perimeter exploitation and post-exploitation in Active Directory
Perform Purple Team engagements to help clients improve their monitoring and detection capabilities while sharpening your own offensive skills
Document attack paths, risk analysis, technical findings and remediation guidance in detailed reports tailored to both technical and executive audiences.
Collaborate with the team to develop and maintain internal tooling, scripts, and documentation for offensive operations
Continuously research and test new techniques, tools, and attack paths to further enhance Red Team capabilities

As a DFIR team member, you will participate in hands-on security research and investigations, helping our customers understand and mitigate cyber threats and attacks.

Responsibilities
Perform incident response lifecycle and real-time activities, including detection and analysis, containment and eradication, and recovery
Perform incident response in a cloud environment (Azure, AWS etc.).
Perform digital forensics investigations
Research and analyze tactics, techniques, and procedures (TTPs) used by malicious actors
Perform hunt-evil and find-evil activities for proactively detecting attacks
Work closely with our in-house red team, CTI, and cyber architect teams
Work closely with worldwide companies, CISOs, and technology experts