Researcher jobs in Israel

About Dash Security Dash Security is building the security layer for the agentic enterprise - so teams can let AI run, securely. Enterprises are adopting AI agents across coding and productivity tools running in SaaS, cloud, and endpoints, and traditional security stacks don't work where agents interpret instructions, plan, and act at runtime. Dash discovers every agent, MCP server, skill, and interaction; captures full agentic sessions end to end; and observes, governs, and acts across every agent and interaction, everywhere they run - instantly. We exist to close the agent security gap with intent-aware runtime protection that scales with enterprise AI adoption. Dash is well funded and with co-founders that combine serial entrepreneurship with enterprise experience having built market-leading products and businesses at Akamai and Palo Alto Networks. Role Overview We are seeking a Head of Research to build and lead Dash's research group reporting to the Co-founder and CTO. You'll set the research agenda for how AI agents, spanning coding agents, SaaS AI platforms, cloud, and endpoints, can be abused, and you'll turn that research into the detections and runtime protections that define Dash's product. You'll build the team, the threat intelligence function, and the processes that keep Dash ahead of a threat landscape that changes weekly. This is a hands-on leadership role. You'll still go deep on platforms and attack paths while scaling research into a core differentiator of the company. You will help define the field of Agentic Security and be one of its leading voices. Responsibilities Lead and grow the research team: Hire, mentor, and manage AI security researchers. Build a culture of rigor, speed, and ownership. Own the research direction: Proactively identify emerging agentic threats and platforms, prioritize research projects, and set a roadmap aligned with product and customer needs. Build threat intelligence processes: Establish how Dash collects, triages, and operationalizes threat intelligence on agentic attacks. This includes in-the-wild abuse, malicious MCP servers, skills and extensions, and new techniques from the research community. Drive research into product: Partner closely with engineering and product so findings become production detections, runtime policies, and governance capabilities. Own the coverage and quality of Dash's detection logic. Define detection strategy: Set standards for detection logic across environments, including coverage models, efficacy measurement, and false positive and false negative management at enterprise scale. Stay hands-on: Lead deep dives into platform architectures, monitoring and enforcement boundaries, and end-to-end PoCs for the most critical attack paths. Represent Dash externally: Publish research, advisories, and vulnerability disclosures. Speak at leading security conferences and build Dash's reputation as the authority on agentic security. Support customers and the field: Provide research expertise for customer engagements, incident investigations, and strategic accounts. Qualifications BSc./MSc. in Computer Science, Security, or equivalent military/industry experience. 8+ years of security research (AI Security, AppSec, Malware Research, Endpoint Security, or Adversarial AI), including 3+ years leading a research team. Proven experience building threat intelligence or research processes from the ground up. Track record of proactively setting research direction and staying ahead of emerging threats. Public research record, such as vulnerability disclosures, CVEs, publications, or talks at major security conferences - an advantage. Deep familiarity with AI and agent attack surfaces, including prompt injection, tool and MCP abuse, agent hijacking, and data exfiltration. Hands-on experience with coding agents (e.g., Cursor, Claude Code) is a must, including practical use of MCP servers, Skills, hooks, and similar agent tooling. Demonstrated ability to work closely with product and engineering to productize research into differentiated security outcomes and market-leading products. Strong grasp of cloud, SaaS, and endpoint security models, especially identity and data access. Proficiency in Python; familiarity with TypeScript or Go is a plus. Startup experience is a strong plus.

Description About Backslash Backslash is a Series A startup on a mission to make AI-assisted development safe by default. As AI coding agents and modern dev environments like Cursor and Claude Code reshape how software is written, we are building the security layer that understands where AI introduces new, hidden risk and protects against it. We are a focused team with a simple goal: let engineering teams adopt AI at full speed with maximum visibility and safety. The role You will lead Backslash's security research - discovering how AI coding agents create new attack surfaces, and turning those findings into product direction and market narrative. This is a hands-on role where you drive original research while managing broader research activities across the company. You will be a trusted technical voice across product, architecture, and marketing. You report to the CTO. What you will do • Lead security research on AI coding agent attack surfaces, emerging threats, and novel vulnerability classes - from MCP security to prompt injection in dev environments • Publish original research - blog posts, conference talks, CVEs, technical deep-dives - that establishes Backslash as a thought leader in AI security • Feed research findings into product - identify security weaknesses, inform architecture decisions, and shape the roadmap • Track the AI security landscape - tools, protocols, attack vectors, academic research - and translate what matters into what we build • Be a go-to technical resource for marketing, sales, and product - translating research into content, customer conversations, and competitive positioning What success looks like in your first 6 months • Published 2-3 pieces of original research that the AI security community is talking about • Identified novel attack classes specific to AI coding agents that shaped our product roadmap • Became a trusted technical voice in customer conversations and industry events • Built a clear research agenda for the following 12 months What you bring • Established security researcher - you've done this work long enough to have a track record and a point of view • Prior experience in a similar role - security research lead, principal researcher, or equivalent • Experience with AI/LLM security - prompt injection, agent-based attacks, model supply chain risks • Understanding of endpoint security, agent architectures, and local-machine threat models • Offensive mindset - you instinctively think about how to break things, not just how to describe them • Published research track record (blogs, CVEs, conference talks) • Experience translating research into product features and architecture decisions • Hands-on, pragmatic, and biased to action When applying, please include links to published research, blog posts, or conference talks.

Description About Us Mosaic AI is the only enterprise AI platform built for technical support in highly configurable, multi-product companies. We unify the customer, product, and support context scattered across a company’s systems, then act on it across the case lifecycle: automating what we can, escalating to a human expert when it matters. Built on 100+ deep integrations, the platform runs products already live in production, including Self-Service, Knowledge, Triage, Assist, Intelligence, Alerting, and QA, all sharing one foundation so they ship fast and improve as the platform grows. That shared foundation makes this an exciting, unusual place to build. Each product we launch would have been an entire company in the pre-AI era; for us, it’s a focused product on common infrastructure, so each deployment builds on the last. Our no-code Agent Builder lets teams design and deploy agents with governance and traceability, while our Customer Context Model routes recurring issues and account risk to the teams that can fix them. Every deployment lowers our customers’ cost to serve. We’re hiring engineers and product leaders who want to build systems that get more capable the more they run. About the Role Mosaic builds the AI platform that technical support teams run on. Our agents, retrieval, and reasoning sit at the core of how customer-facing teams answer questions, resolve cases, and surface insights. The depth and reliability of that AI is the product. You’ll start with an active research roadmap,, from self-improving evaluation infrastructure to agentic RAG to multimodality. You’ll work with a small team of researchers who are already in place. We’re looking for a hands-on researcher who will do much of this work directly, lead the team day to day, and grow into a bigger leadership role as the team expands. Expect most of your week to go to research and building. What you’ll do • Work hands-on across the AI/ML core of the Mosaic platform (retrieval, agents, model routing, and evals) and own the research that improves it. • Shape the research agenda with the VP of Product and engineering, including what we investigate, how we measure it, and what goes into the product. • Lead a small research team day to day, set goals with each researcher, and help hire as the team grows. • Work inside the product team and with engineering to turn research into features customers use. • Define the quality bar for our AI outputs and make it measurable. Requirements What you bring • MSc or PhD in Machine Learning, NLP, Computer Science, or a closely related field. This is a hard requirement. • 6+ years of hands-on industry experience building production AI/ML systems. • Real production experience with AI agents: designed, built, evaluated, and improved them. Not just experimented. • Prior experience managing researchers or ML engineers. • Independent research mindset: a point of view on what to bet on next, and the judgment to defend it. • Track record of shipping research into product, not only papers or prototypes. • Comfortable partnering deeply with engineering and product. • You still enjoy writing code and running experiments yourself, and you want that to stay a big part of your job. Nice to have • Experience with enterprise B2B SaaS or applied research in industry (not only academic). • Public contributions (papers, talks, open-source, technical writing) that show the way you think. • Experience with RAG systems, evaluation infrastructure, or multi-agent orchestration at scale. Logistics Tel Aviv (Midtown), hybrid: Mon/Tue/Thu in-office.

Job Description GM Israel (Herzliya) takes a significant part in introducing sophisticated software features into car in many domains like connected cars, advanced camera technologies and research. We shape the face of the future vehicles in diverse fields by developing cutting edge technologies that define how drivers experience safety, awareness, and confidence on the road. GM is committed to Zero Emission, Zero Crashes and Zero Congestion vision. About the Group General Motors Research Labs is an applied research center focusing on creating and evaluating innovations for future vehicles. Our researchers conduct independent technical work, while initiating and leading collaborative projects with colleagues at academia and industry globally. The Wireless Connectivity R&D group focuses on advancing both current and future connectivity technologies across cellular (4G/5G/6G), Wi-Fi, Bluetooth, UWB, and beyond. Our mission is to: • Improve real-world connectivity performance and reliability in production vehicles • Maximize customer satisfaction for connectivity-dependent applications • Explore new algorithms and system configurations across all layers of the communication stack • Contribute to future connectivity standards and architectures About the Role We are seeking a Senior Researcher - Wireless Connectivity & AI to drive innovation at the intersection of wireless communications, AI/ML, and automotive applications. This role combines deep technical expertise in wireless systems with advanced data-driven methods to unlock new capabilities and improve real-world performance beyond current limits. What will YOU do? • Analyze connectivity system performance using data collected from field deployments, lab measurements, and simulations • Benchmark performance against commercial off-the-shelf (COTS) devices and identify key performance gaps • Develop models and methodologies—leveraging AI/ML and analytical techniques—to improve connectivity robustness and user experience • Design and evaluate system-level optimizations for in-vehicle connectivity across multiple radio technologies • Influence next-generation connectivity architectures and standards with a focus on enhancing customer-facing applications • Collect, preprocess, and analyze large-scale connectivity datasets from simulations, lab measurements, and field deployments • Develop predictive models for: • Physical layer (link-level) performance • End-to-end system and network performance Your Skills & Abilities (Required Qualifications) • PhD in Electrical Engineering, Computer Science, Mathematics, Physics, or a related field • Strong background in wireless communications, including: • Physical layer and higher-layer protocols • Cellular (4G/5G) and WLAN systems • Real-world deployment considerations and KPI trade-offs • Solid foundation in: • Signal processing • Probability and statistics • Optimization • Estimation and detection theory • Information theory • Proven experience in AI/ML, including model development and evaluation • Proficiency in programming: Python, MATLAB, C/C++ • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) What Will Give You a Competitive Edge (Preferred Qualifications) • Experience in applied research and transitioning ideas into practical solutions • Background in system-level simulations or real-world measurement campaigns • Familiarity with automotive connectivity use cases and constraints • Contributions to research or standardization (publications, patents, 3GPP/IEEE involvement) Why Join Us This is a unique opportunity to work at the forefront of wireless connectivity innovation, combining AI, communications, and real-world automotive applications. You will have the ability to influence both current vehicle performance and future industry standards, while working with a highly skilled, multidisciplinary team. 



About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Non-Discrimination and Equal Employment Opportunities General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Position Summary Samsung Research Israel (SRIL), part of Samsung Electronics (SET), operates at the forefront of technological innovation through its two main hubs: Advanced R&D & Open Innovation. These activities focus on developing cutting-edge technologies to shape the future of Samsung Electronics. SRIL actively collaborates with Israeli high-tech companies and academic institutions to integrate advanced solutions into Samsung’s products, while also developing innovative technologies in-house. We lead advanced research in artificial intelligence, optics, and machine learning, aiming to deliver world-class technology with a global impact. Position Overview We are seeking a researcher with a strong theoretical and hands-on background in optics and experience applying machine learning, computer vision, and deep learning to imaging problems. This role combines research in optical systems, imaging physics, and AI with industrial applications. The researcher will contribute to next-generation camera technologies, computational imaging, and image enhancement by connecting the physical image-formation process with advanced computational methods. Role and Responsibilities · Conduct research at the intersection of optics, computational photography and machine learning for advanced camera systems. · Model and analyze image formation, including optical propagation, diffraction, aberrations, sensor response, and noise. · Develop ML/DL algorithms for image reconstruction, restoration, enhancement, and understanding, incorporating physical models and optical-system constraints. · Investigate generative AI and diffusion models for imaging applications, including physically informed image reconstruction and synthesis. · Design and conduct optical experiments, simulations, and algorithmic prototypes to validate research hypotheses and optimize imaging performance. · Collect and analyze experimental image and video data, connecting laboratory measurements with simulation and model evaluation. · Collaborate with optical, sensor, and algorithm teams to assess system-level trade-offs and translate research into practical imaging solutions. · Stay current with research in electro-optics, computational imaging, physics-informed learning, and computer vision. · Document and present research outcomes internally and in global collaboration meetings. Skills and Qualifications · M.Sc. or advanced-stage PhD candidacy, in Physics, Applied Physics, Electro-Optics, Optical Engineering, Electrical Engineering, or a closely related field, with research focused on optics or imaging. · Strong background in both electro-optics and physics, demonstrated through academic research or relevant industry experience. · Solid theoretical knowledge of wave and geometrical optics, diffraction, optical image formation, and light–sensor interactions. · Hands-on experience with optical or electro-optical systems, including experimental setup, measurement, characterization, and analysis. · 2–5 years of relevant research experience in electro-optics, computational imaging, or physics-based imaging, in academia or industry. · Practical experience applying machine learning, computer vision, or deep learning to imaging problems. · Understanding of deep learning architectures relevant to imaging, such as CNNs, transformers, or generative models. · Proficiency in scientific programming and numerical analysis using Python and/or MATLAB, with experience in a deep learning framework such as PyTorch or TensorFlow. · Ability to independently design experiments, interpret physical phenomena, and connect theoretical models with measured results. · Excellent communication and collaboration skills in a multidisciplinary R&D environment. Preferred Qualifications · Experience in computational photography, inverse imaging problems, or joint optimization of optical systems and reconstruction algorithms. · Experience with camera systems, CMOS image sensors, optical-system characterization, or imaging-system calibration. · Familiarity with optical simulation and design tools such as Zemax or Code V. · Experience with physics-informed learning, differentiable imaging models, or simulation-to-real methods. · Experience with diffusion models or other generative approaches for image restoration, enhancement, or synthesis. · Publications in relevant optics, imaging, computer vision, or machine learning venues. Our Offering · A chance to work on cutting-edge electro-optical, computational imaging, and AI technologies that influence Samsung’s products worldwide. · Exposure to world-class researchers and engineers in a collaborative, innovation-driven environment. · Access to advanced computing resources and imaging labs. · Flexible engagement suited to an advanced-stage PhD student or postdoctoral researcher. · Mentorship, professional growth, and the opportunity to contribute to high-impact global R&D projects. Please note that, throughout the interview process, we ask all candidates to refrain from sharing any confidential, proprietary, or trade-secret information belonging to their current or former employers or any other third party. We are interested in your skills, experience, and accomplishments, and ask that you describe them without disclosing information that is not yours to share. * Please visit Samsung membership to see Privacy Policy, which defaults according to your location. 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ScaleOps is redefining autonomous cloud and AI infrastructure. We're on a mission to free DevOps and platform engineers from manual resource management so they can focus on innovation, not tuning resources. The results: maximized performance and a reduction of cloud costs by up to 80%. As the category leader in Autonomous Cloud and AI Infrastructure Resource Management, we're trusted by leading enterprises including Adobe, Wiz, Epic Games, Northwestern Mutual, Coinbase, DocuSign, and Fortune 100 companies to autonomously manage their most critical production environments. Backed by Insight Partners, Lightspeed Venture Partners, and other leading VCs with over $210M in funding, ScaleOps is the leading player in a massive and growing market. We are building the autonomous infrastructure management platform that will power the next decade of enterprise compute. What You'll Be Doing We're looking for a Researcher who thrives on exploring the technical frontier and translating complex insights into real-world impact. This is a hands-on role, combining deep research with prototyping and cross-team collaboration, with the goal of driving innovation in Kubernetes internals, cloud infrastructure, and performance optimization. • Conduct deep research into Kubernetes internals, scheduling, autoscaling, and container resource usage. • Explore cutting-edge strategies for cloud resource optimization, cost efficiency, and performance engineering. • Design and deliver hands-on POCs, simulations, and benchmarks to validate new approaches. • Work closely with product and engineering teams to translate research findings into features and enhancements. • Stay at the forefront of the cloud-native and FinOps ecosystems, surfacing trends and opportunities. • Contribute to technical blogs, white papers, and internal knowledge sharing. What You'll Bring • 7+ years of experience in engineering, systems research, or large-scale infrastructure roles. • Deep knowledge of Kubernetes internals, containerization, cloud infrastructure, and resource orchestration. • Hands-on coding experience in Go, Python, or other systems-level programming languages. • Strong analytical and research skills, with a track record of building and delivering innovative POCs. • Ability to thrive in uncertainty, take ownership of technical domains, and drive projects end-to-end. • Excellent written and verbal communication skills. • (Nice to have) Background in cloud cost optimization, scheduling, or autoscaling. • (Nice to have) Published technical research artifacts. • (Nice to have) Experience presenting on technical stages. • (Nice to have) Machine learning experience (e.g., time-series models, LLMs). • (Nice to have) Prior security research experience.