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We are hiring for an Integration Manager for our Customer Solutions team to act as a bridge between business and development, with the ability to understand both the technical and business sides of integrations.

The Senior Software Engineer, Edge our company's growing engineering organization and help build the software that runs on the core device layer behind our platform. This role sits within a small, highly impactful team responsible for a hybrid edge system that powers core functionality across video, security, networking, storage, and AI deployment in production environments. You'll work on a resource-conscious, distributed device architecture that spans multiple hardware targets and brings together technologies more commonly seen across both embedded and cloud systems. This is a strong fit for an engineer who enjoys meaningful ownership, thrives in a fast-moving startup environment, and is comfortable building reliable software for systems customers depend on every day.
Location & Travel
Hybrid / Onsite Schedule: Based in Caesarea or Ramat Gan with 2 days a week working from home.
Responsibilities
Contributing to the development of our core edge platform, designed to run across diverse hardware environments as part of a hybrid edge-cloud architecture
Developing and integrating video management capabilities, including streaming, recording, and real-time AI processing
Designing and optimizing systems for low-latency, high-performance workloads at the edge
Building secure and efficient communication pipelines between edge devices and cloud systems
Working closely with AI/ML engineers to deploy and optimize models on-device
Participating in code reviews, debugging, and performance tuning across the stack
Collaborating with a talented team of engineers, AI experts, and leadership in a fast-moving environment.

The Software Engineer - Cloud will join a foundational and growing cloud team with meaningful ownership over critical platform areas. You will help build the software systems behind a hybrid edge-cloud architecture powering real-time video streaming, recording, and AI processing at global scale. This role sits within the team led by the Head of Cloud, which owns a broad software domain across cloud, mobile, web applications, and related clients.
Youll work on a distributed backend ecosystem that connects edge devices with cloud services and customer-facing applications, with a strong focus on performance, reliability, and low-latency user experiences. This is a strong fit for an engineer who enjoys meaningful ownership, thrives in a fast-moving startup environment, and is comfortable contributing to systems that support customers worldwide. You will have a chance to work alongside teammates across the U.S., Israel, and Europe, contributing to a platform with broad impact and increasing customer demand.
Location & Travel
Hybrid Schedule:
Two days a week working from home.
Ramat Gan office, located just outside Tel Aviv and close to the train station.
Includes biweekly travel to our Caesarea office.
Responsibilities
Build and evolve the core cloud platform that supports real-time video streaming, recording, and AI processing across a global customer base.
Design, develop, and maintain distributed backend services that connect edge infrastructure with cloud systems and customer-facing products.
Develop and support data pipelines for both real-time and batch processing of video and AI-related workloads.
Work on systems responsible for ingestion, storage, retrieval, and secure handling of large-scale video data in a multi-tenant environment.
Architecting multi-tenant, highly available systems across regions in a cloud environment
Collaborate closely with Edge engineers and adjacent teams to enable seamless integration across the broader platform.
Use cloud provider services and SDKs as part of day-to-day development, including work across core cloud capabilities rather than a single isolated service.
Contribute to backend development in JavaScript/Node.js and, depending on background and team fit, potentially support growing work in Go as part of the cloud stack.
Participating in code reviews, debugging, and optimizing performance across distributed systems
Help support a production environment where reliability matters, including situations that may require responsiveness outside standard hours when cloud issues have broad impact.
Our infrastructure is powered by Google Cloud.
Other duties may be assigned.

Our Data Science team is seeking a Junior Data Scientist to help build and improve the models at the core of Mizes travel data platform.
What youll do:
Develop and improve ML models
Build LLM-based pipelines for data enrichment, validation and quality checks
Analyze large datasets to find patterns, data-quality issues and opportunities for business impact
Design experiments, define metrics and evaluate model performance in production
Turn findings into clear insights and recommendations for technical and business stakeholders

we are a leading trust, safety, and security company. Just like 'Alice' herself, we go down the rabbit hole into the emerging world of AI and focus on safeguarding these technologies. In a world where AI has fundamentally changed the nature of risk, our company offers coverage across the entire AI lifecycle. We're currently on the ground floor of an exciting new initiative: building an "Elite Collective" of the world's premier OSINT/WEBINT experts-high-stakes, project-based work for the "best of the best" researchers in the industry. Work is on-demand and project-dependent, scaling up and down based on the needs of the client. This is not a high-volume, repetitive role; it is an opportunity to be tapped for specific, high-impact interventions when your unique expertise is required. The most sophisticated technology challenges in the world are waiting down the rabbit hole. We're looking for the sharpest minds to help us secure the frontier. The invitation is open: Come join us at the tea party. About the Position As one of our company's OSINT/WEBINT Researchers, you'll conduct in-depth open-source and web intelligence research to identify, analyze, and assess a wide range of online threats and harmful activities across platforms. Your work directly supports the safety of some of the world's largest digital platforms. We are seeking researchers with expertise in one or more of the following domains:
* Child Safety - Detecting and analyzing child sexual abuse material (CSAM) and grooming indicators
* Hate Speech & Extremism - Tracking radicalization trends, hate groups, and violent ideologies
* Counterterrorism - Identifying terrorist propaganda and networks
* Organized Crime - Investigating illicit trade, fraud, and trafficking operations
* Platform Integrity & Manipulation - Uncovering coordinated inauthentic behavior, influence operations, and misinformation campaigns Key Responsibilities
* Conduct end-to-end intelligence research projects across multiple abuse areas (hate speech, violent extremism, child safety, platform manipulation, organized crime, fraud, and disinformation)
* Collect, analyze, and contextualize data from a variety of open and closed sources, including social media platforms, chat applications, gaming platforms, forums, and AI tools
* Apply OSINT/WEBINT methodologies (search, dorking, verification, network mapping, and trend analysis) to identify indicators of online threats and harmful behavior
* Prepare concise analytical reports and datasets, summarizing key findings, insights, and emerging risks
* Stay up to date on global online threat trends and evolving tactics across different platforms
* Collaborate with internal and external stakeholders (e.g., Delivery, Product, and Policy teams) to ensure timely and high-quality outputs
About us:
we are a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, we provide end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. we are widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

we are a leading trust, safety, and security company. Just like 'Alice' herself, we go down the rabbit hole into the emerging world of AI and focus on safeguarding these technologies. In a world where AI has fundamentally changed the nature of risk, our company offers coverage across the entire AI lifecycle. We're currently on the ground floor of an exciting new initiative: building an "Elite Collective" of the world's premier Cyber Threat experts-high-stakes, project-based work for the "best of the best" threat and fraud specialists in the industry. Work is on-demand and project-dependent, scaling up and down based on the needs of the client. This is not a high-volume, repetitive role; it is an opportunity to be tapped for specific, high-impact interventions when your unique expertise is required. The most sophisticated technology challenges in the world are waiting down the rabbit hole. We're looking for the sharpest minds to help us secure the frontier. The invitation is open: Come join us at the tea party. About the Position As one of our company's CTI Specialists, you'll conduct in-depth OSINT/WEBINT investigations to detect and mitigate online threats for some of the world's largest digital platforms. Your work will span the clearnet, darknet, and messaging platforms - focusing on threat intelligence, malware trends, fraud detection, and illicit communities. We are seeking experts with strengths in one or more of the following areas: Cyber Threat Intelligence - Threat actor tracking, malware analysis, data leak monitoring, darknet research Fraud Analysis - Fraud tactics, process bypasses, abuse methods, financial crime patterns OSINT/WEBINT Research - Social media intelligence, forum analysis, messaging app investigations. Project Details
* Commitment: Approximately 80 hours per month
* Duration: Project-based (on-demand)
* Schedule: Flexible hours, asynchronous collaboration
* Location: Remote Key Responsibilities
* Conduct in-depth OSINT/WEBINT investigations across clearnet, darknet, and messaging platforms
* Analyze online patterns and identify emerging cyber threats and fraud mechanisms
* Monitor threat actor communities, data leaks, and malware trends
* Uncover fraud tactics, process bypasses, and abuse methods
* Prepare structured reports with actionable recommendations
* Collaborate asynchronously with the research team
About us:
we are a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, our company provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. we are widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

we are a leading trust, safety, and security company. Just like Alice herself, we go down the rabbit hole into the emerging world of AI and focus on safeguarding these technologies. In a world where AI has fundamentally changed the nature of risk, our company offers coverage across the entire AI lifecycle. We're currently on the ground floor of an exciting new initiative: building an "Elite Collective" of the world's premier cyber specialists-high-stakes, project-based work for the "best of the best" red-teamers in the industry. Work is on-demand and project-dependent, scaling up and down based on the needs of the client. This is not a high-volume, repetitive role; it is an opportunity to be tapped for specific, high-impact interventions when your unique expertise is required. The most sophisticated technology challenges in the world are waiting down the rabbit hole. Were looking for the sharpest minds to help us secure the frontier. The invitation is open: Come join us at the tea party. About the position: As one of our companys Security Red Team Specialists, youll focus on Generative AI Models. You will play a critical role in enhancing the security and integrity of our cutting-edge AI technologies. Your primary responsibility will be to conduct analysis and testing of our generative AI systems, including but not limited to language models, image generation models, and any related infrastructure. Your objective is to help clients secure their AI models and frameworks by identifying weaknesses, assessing risks, and providing clear steps for improvement. Key Responsibilities
* Simulated Cyber Attacks: Conduct sophisticated and comprehensive simulated attacks on generative AI models and their operating environments to uncover vulnerabilities.
* Vulnerability Assessment: Evaluate the security posture of AI models and infrastructure, identifying weaknesses and potential threats.
* Risk Analysis: Perform thorough risk analysis to determine the impact of identified vulnerabilities and prioritize mitigation efforts.
* Mitigation Strategies: Collaborate with development and security teams to develop effective strategies to mitigate identified risks and enhance model resilience.
* Research and Innovation: Stay abreast of the latest trends and developments in AI security, ethical hacking, and cyber threats. Apply innovative testing methodologies to ensure cutting-edge security practices.
* Documentation and Reporting: Maintain detailed documentation of all red team activities, findings, and recommendations. Prepare and present reports to senior management and relevant stakeholders.
About us:
we are a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, our company provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. we are widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

we are a leading trust, safety, and security company. Just like 'Alice' herself, we go down the rabbit hole into the emerging world of AI and focus on safeguarding these technologies. In a world where AI has fundamentally changed the nature of risk, our company offers coverage across the entire AI lifecycle. We're currently on the ground floor of an exciting new initiative: building an "Elite Collective" of the world's premier GenAI experts-high-stakes, project-based work for the "best of the best" specialists in the industry. Work is on-demand and project-dependent, scaling up and down based on the needs of the client. This is not a high-volume, repetitive role; it is an opportunity to be tapped for specific, high-impact interventions when your unique expertise is required. The most sophisticated technology challenges in the world are waiting down the rabbit hole. We're looking for the sharpest minds to help us secure the frontier. The invitation is open: Come join us at the tea party. About the Position We are seeking versatile GenAI Specialists to join our expert collective. This role encompasses two complementary focus areas-and we're looking for individuals who excel in one or both: Focus Area 1: Adversarial Analysis Design and execute adversarial prompts to identify weaknesses in cutting-edge AI systems, including LLMs, Text-to-Image, Text-to-Video, Multi-Modal models, and AI Agents. Analyze outputs, categorize vulnerabilities, and translate findings into actionable safety insights. Focus Area 2: Creative Prompt Design Craft diverse, context-rich prompts that challenge AI models across policy domains. Blend linguistic creativity with sociocultural insight to simulate realistic, localized use cases - from benign edge cases to sophisticated deception attempts. Key Responsibilities Adversarial Analysis:
* Design adversarial prompts to TEST AI systems across multiple modalities
* Identify, categorize, and document model weaknesses or unsafe outputs
* Support data annotation, curation, and quality control processes
* Summarize findings into structured reports or data templates Creative Prompt Design:
* Produce high-quality, diverse prompt sets reflecting global linguistic and cultural nuances
* Research online behaviors of threat actors to inform realistic prompt design
* Cover multiple policy areas, such as Hate Speech, Sexual/Graphic Harm, or Terrorism
* Adapt prompts for multiple languages and dialects where applicable
About us:
we are a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, our company provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. we are widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Are you a talented Data Scientist with expertise in image analysis and text reading? Are you passionate about leveraging cutting-edge technologies to drive innovation in the field of electronic component inspection? Look no further!
an industry-leading technology company based in Tel Aviv, we are seeking a skilled Data Scientist to join our dynamic team. As a Data Scientist specializing in image analysis and text reading, you will play a pivotal role in developing and enhancing our AI-driven solutions for quick and accurate component inspection in electronic manufacturing.
Responsibilities
Develop and implement advanced algorithms for image analysis and text reading in the context of component inspection.
Collaborate closely with cross-functional teams to enhance existing models and drive continuous improvement.
Work with large-scale datasets, applying statistical and machine learning techniques to extract meaningful insights.
Stay updated with the latest advancements in the field of image analysis and text reading and apply them to enhance our solutions.

We are seeking a proactive and detail-oriented AI Regulatory Engineer to ensure that AI-based clinical features for ultrasound systems comply with evolving global regulatory requirements-particularly FDA regulations for AI-enabled medical devices.
This role is critical as AI has become a highly regulated domain, requiring specialized regulatory strategies, risk management approaches, and lifecycle governance. The AI Regulatory Engineer will work closely with AI engineering, clinical, quality, product management, and regulatory affairs teams to define and execute the correct AI regulatory and submission strategy across the full product lifecycle.
Job Description
Key Responsibilities
AI Regulatory Strategy & Compliance
Interpret and apply regulatory frameworks and guidance for AI-enabled medical devices, including FDA, EU MDR/IVDR, and global regulations.
Define and drive AI regulatory strategies for clinical ultrasound features, including SaMD and AI-enabled device functions.
Support FDA submission pathways (e.g., 510(k), De Novo, PMA) for AI-based features, including AI-specific regulatory positioning.
Risk Management & Safety for AI
Lead AI-focused risk management activities in accordance with ISO 14971, addressing AI-specific hazards such as bias, robustness, generalization risk, and clinical misuse.
Perform and maintain AI-specific risk analyses (e.g., AI FMEA, algorithm hazard analysis, clinical performance risk).
Ensure traceability between clinical requirements, AI behavior, risk controls, and verification/validation evidence.
Regulatory Documentation & Submissions
Prepare and maintain AI-related regulatory documentation, including:
AI descriptions and intended use statements
Training and validation dataset descriptions
Performance evaluation and clinical evidence summaries
Algorithm change management and lifecycle documentation
Support creation of FDA-ready AI documentation, including transparency, explainability, and human-factors considerations.
AI Lifecycle & Change Management
Define regulatory-compliant processes for AI updates, retraining, and post-market changes, aligned with FDA expectations.
Support implementation of Predetermined Change Control Plans (PCCP) or equivalent AI lifecycle strategies.
Ensure alignment between AI development practices and regulatory expectations for locked vs. adaptive algorithms.
Cross-Functional Collaboration
Collaborate closely with:
AI engineers and data scientists
Clinical and medical affairs teams
Quality, systems, and V&V engineers
Product management and regulatory affairs
Embed regulatory and safety requirements early into AI design, data strategy, and clinical validation plans.
Regulatory Intelligence & Audits
Monitor evolving AI regulations, FDA guidance, standards, and industry best practices.
Communicate regulatory changes and their impact on AI roadmaps and product strategy.
Support internal audits, design reviews, and external regulatory inspections related to AI and clinical safety.
Provide training and guidance on AI regulatory and safety topics to engineering and product teams.

Systems engineering is a cross-functional engineering discipline centered on an approach, mindset, and process. All activities that consider both the business and the technical needs of the customers with the goal of providing a quality product that meets the users needs. The discipline that executes a robust process of design, creation, and optimization of systems, consisting of identification and quantification of system requirements, creation of alternate system design concepts, performance of design trade studies, selection and implementation of the best designs and verification that the design is properly integrated and executed. Process that proceeds from concept to production to operation.
Responsible for departmental operations planning/execution or is focused on execution of professional activities within a technical discipline. Functions with some autonomy but guided by established policies or review of end results.
The job allows modification of procedures and practices covering work as long as the end results meet standards of acceptability (quality, volume, timeliness etc.).
Job Description
Roles and Responsibilities
Conducts component and product integration. All activities that span multiple components and products and are concerned with how to integrate for maximum performance and operability. Manages product and systems requirements, specifications and flow down. Drives validation and verification activities for the overall product/system, including system level testing. Responsible for defining product requirements for the module / component / subcontractors and partners teams. Manages interface between components and execution organizations.
Responsible for driving CTQ / Risk trades within the teams designing the components. Manages the overall product configuration and configuration control system.
Includes direct people management responsibility including staffing and performance development. Utilizes in-depth knowledge of a technical discipline and analytical thinking and technical experience to execute policy/strategy.
Has knowledge of best practices and how own area integrates with others; is aware of the competition and the factors that differentiate them in the market
Uses some judgment and has some ability to propose different solutions outside of set parameters to address more complicated manufacturing processes with technical variety and/or interdependent production cycles. Uses technical experience and analytical thinking. Uses multiple internal and limited external sources outside of own teams to arrive at decisions.
Acts as a resource for colleagues with less experience. May lead small projects with low risks and resource requirements. Explains information; developing skills to bring team members to consensus around topics within field. Conveys performance expectations and may handle sensitive issues.

The Lead Clinical Applications Engineer is a role within R&D, focused primarily on new product introduction and continuous improvement of post-market Nuclear Medicine and/or PET-CT imaging systems and related software. The role provides clinical and application expertise to product and engineering teams, ensuring solutions meet clinical needs, deliver strong image quality and quantification, and perform reliably in real‑world use.
Working closely with R&D, system engineering, product management, service, and field teams and customers, this role translates clinical needs, customer feedback, and usage insights into practical system and software improvements, while supporting resolution of complex clinical and application‑related issues.
Job Description
Lead Clinical Applications Engineer
Key Responsibilities
Serve as a clinical reference for Nuclear Medicine and PET-CT applications and workflows within R&D programs.
Support investigation of selected complex customer or field issues, translating findings into actionable inputs for product improvement.
Interface with product, software, algorithms, system engineering, hardware, UX, service, and field organizations as needed.
Translate clinical use cases and user needs into system and software requirements in collaboration with engineering teams.
Support design and validation of Nuclear Medicine and PET-CT applications, reconstruction methods, and workflow solutions.
Provide clinical input to decisions impacting image quality, quantification accuracy, dose, and user experience.
Participate in evaluation of AI‑enabled Nuclear Medicine and PET-CT, supporting clinical validation and performance claims.
Contribute to usability, clinical validation, and regulatory‑related documentation as required.

we are seeking a skilled Team Lead - R&D to join its expanding R&D department.
The company specializes in utilizing AI and big data to analyze electronic components during the assembly process to identify faulty and counterfeit components.
Responsibilities:
Lead and mentor a team of R&D software engineers, fostering innovation and technical excellence.
Develop and maintain high-performance applications in Python and other backend languages.
Take ownership of key development projects, tools, and processes, ensuring efficiency and scalability.
Optimize applications for improved performance, memory management, and real-time processing.
Collaborate with cross-functional teams to integrate complex algorithms and logic seamlessly.
Work closely with the R&D management team to align development efforts with company goals.
Work with cloud-based and on-prem infrastructure and contribute to scalable microservices architecture.
Debug and resolve complex software issues to maintain high system reliability.