דרושים » AI » GenAI Security Specialist

We are seeking an experienced and detail-oriented GenAI team lead to oversee complex research and delivery efforts focused on identifying and mitigating risks in Generative AI systems. In this role, you will lead a multidisciplinary team conducting adversarial testing, risk evaluations, and data -driven analyses that strengthen AI model safety and integrity. You will be responsible for ensuring high-quality project delivery, from methodology design and execution to client communication and final approval of deliverables. This position combines hands-on red teaming expertise with operational leadership, strategic thinking, and client-facing collaboration. Key Responsibilities Operational and Quality Leadership
* Oversee the production of datasets, reports, and analyses related to AI safety and red teaming activities.
* Review and approve deliverables to ensure they meet quality, methodological, and ethical standards.
* Deliver final outputs to clients following approval and provide actionable insights that address key risks and vulnerabilities.
* Offer ongoing structured feedback on the quality of deliverables and the efficiency of team workflows, driving continuous improvement. Methodology and Research Development
* Design and refine red teaming methodologies for new Responsible AI projects.
* Guide the development of adversarial testing strategies that target potential weaknesses in models across text, image, and multimodal systems.
* Support research initiatives aimed at identifying and mitigating emerging risks in Generative AI applications. Client Engagement and Collaboration
* Attend client meetings to address broader methodological or operational questions.
* Represent the red teaming function in cross-departmental collaboration with other ActiveFence teams.
 
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, Alice 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 seeking a highly motivated and technically proficient Security Researcher to join our security research division. This role is dedicated to performing advanced offensive security assessments against the biggest companies in the world You need to be independent, attentive to details, organized, eager to learn new things, and like to research and solve problems What you’ll do:
* Engage in sophisticated Red Team projects, including the identification of undisclosed API endpoints and development of novel bypass techniques for established security controls
* Lead and execute comprehensive, technically rigorous security research targeting complex web and mobile applications, including reverse engineering and proprietary protocols investigation

About Alice:
Alice is 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, Alice 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.

Alice is seeking to hire an Intelligence Infrastructure Expert for a full time position. The role includes creation, management, and integration of the company’s unique infrastructure and tools across the different Web environments. The position includes infrastructure establishment and processes management alongside end to end delivery to the different teams within the organization. You will be responsible for the generation of insights, means, and methods provided from diverse intelligence streams enabling the organization’s teams to make the internet a safer place. Responsibilities:
* Monitoring Web and Mobile environments - social media platforms, forums, blogs, mobile applications and darknet to uncover malicious activity.
* Identification, analysis and intelligence gathering on bad actors, sources and platforms, while identifying distribution methods.
* Provide insights on intricate means and methods being used by threat actors to abuse the tech world’s most popular platforms while putting users at risk.
* Identify and address opportunities alongside potential problems in operational processes.
* Research, development and strategizing of new operational methods and logics. We are looking for an expert with a ‘Can Do!’ approach with the following desirable skills, qualities and experience:


About Alice:
Alice is 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, Alice 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.

Alice is seeking a driven, detail-focused professional to become a vital part of our team as a Generative AI Analyst. In this role, you'll dive into the cutting-edge of technology, meticulously analyzing various content infringements to secure the new wave of Generative AI tools. Your duties will include collaborating with experts in diverse fields such as Hate Speech, Misinformation, Intellectual Property and Copyright, Child Safety, among others. Your tasks will involve writing adversarial; prompts to identify weaknesses in various AI models, including Large Language Models (LLMs), Text-to-Image, Text-to-Video, and beyond. You'll also oversee data management to guarantee the highest quality of outputs. Responsibilities
* Developing adversarial and risky prompt strategies across several areas of abuse to expose potential vulnerabilities in models.
* Managing projects end-to-end, from initial planning and oversight through quality assurance to final delivery.
* Handling extensive datasets across multiple languages and areas of abuse, ensuring precision and meticulous attention to detail.
* Ongoing investigation into new tactics for circumventing foundational models' safety measures.
* Working alongside diverse teams, engineering, product, policy, to tackle new challenges and craft forward-thinking strategies and resolutions.
* Promoting a culture of knowledge exchange and continual learning within the team.

About Alice:
Alice is 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, Alice 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.

Alice is seeking an experienced Malware Research Director to build and manage multiple teams dedicated to malware research. This role presents an exciting opportunity to establish a new operation from the ground up, creating processes, optimizing and setting up cross-team collaboration while serving as the primary client interface. The position is primarily leadership, client-facing, creating solutions and requiring exceptional team-building and operational setup skills. The ideal candidate demonstrates high technical skills, proven experience in building teams from scratch, establishing new operations, and strong client relationship management capabilities. Key Responsibilities:
* Establish operational processes, workflows, and quality standards for the new teams
* Coordinate with other departments to integrate the new operation into the existing infrastructure
* Serve as primary client interface, managing relationships and ensuring client satisfaction
* Present research findings and malicious evidence to clients and stakeholders
* Advise on technical aspects for malware research challenges and automated solutions
* Create training programs and onboarding processes for new team members
* Develop performance metrics and evaluation frameworks for team effectiveness
* Lead client meetings, requirement discussions, and project planning sessions
* Collaborate with sales and business development teams on client engagements

About Alice:
Alice is 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, Alice 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.



Hybrid:
No

we are seeking an experienced Researcher to join our team dedicated to Android malware research. This role presents an exciting opportunity to conduct comprehensive malware analysis, detect emerging threats, and contribute to our understanding of the Android threat landscape. The ideal candidate demonstrates a positive, proactive attitude and excels as a reliable team player with strong technical skills in Android malware analysis. Key Responsibilities:
* Conduct in-depth Android malware research and reverse engineering
* Detect and document emerging Android malware trends and attack vectors
* Analyze Android applications for malicious behavior
* Write detection rules and develop automation processes for Android malware identification
* Collaborate with team members and share knowledge across departments
* Perform static and dynamic analysis of Android malware samples
* Document findings and contribute to threat intelligence reports
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 hiring Intermediate Malware Researchers to analyze and review malware applications. Candidates should have a background in cybersecurity and software development. The role includes training in malware analysis and detection and provides exposure to various malware threats and techniques. Researchers will combine technical and intelligence findings to reach accurate verdicts and assist in the bulk removal of malicious applications. The position requires adaptability and proactive identification of emerging malware trends. We are seeking candidates who are willing to learn, can perform effectively under pressure, and maintain high professional standards.

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.


Hybrid:
No

in this role, you will be shaping the future of security automation, working with product experts and exploring the latest artificial intelligence (ai) advancements.the google cloud ai research team addresses ai challenges motivated by google clouds mission of bringing ai to tech, healthcare, finance, retail and many other industries. we work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in ai and share findings with the broader research community. we also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
responsibilities
design and implement model context protocol (mcp) tools for security operations (secops) to support different ai security agents.
integrate ai models over vertex ai and work with the product team to understand the requirements for the integration, developing the integration code, and testing the integration.
develop backend in ASP.NET core or Python. design and develop the backend services that will be used to power the ai models.
design and develop core components of the ai chat infrastructure using go. build scalable and reliable services for managing Real-Time communication, managing user sessions, and integrating with ai models.
research and identify new ai technologies and techniques that can be applied to improve the secops security orchestration, automation, and response (soar) platform.

We’re seeking a visionary Team Lead to lead a AI & backend-focused team building our next-generation Generative AI Platform. This platform will empower cross-functional teams across Earnix to design and deploy AI-driven solutions, leveraging cutting-edge advancements in generative AI, cloud-native architectures, and rapid innovation cycles. In this role, you’ll manage a high-performing backend team responsible for building scalable microservices and cloud-based infrastructure, while integrating advanced AI capabilities such as evaluation frameworks, RAG pipelines, knowledge base management, embeddings, LLMs, chatbot assistants, and agent orchestration.
What You’ll Do Lead and mentor a backend engineering team developing a scalable, cloud-native AI platform. You’ll foster a culture of technical excellence, collaboration, and ownership while ensuring delivery of robust, production-grade systems. Define the technical direction and architecture for backend services, focusing on microservices, distributed systems, and AWS-based infrastructure to support AI-driven applications. Integrate cutting-edge AI capabilities into the platform, including RAG pipelines, embeddings, LLM orchestration, and evaluation frameworks, ensuring performance, scalability, and security. Collaborate with product and engineering teams to translate business needs into backend solutions that enable AI-agent use cases and accelerate innovation across the organization. Drive agile processes and best practices , leveraging tools like Jira to manage sprints, track progress, and continuously improve team efficiency and delivery quality. Scale the team strategically , hiring and onboarding top talent while mentoring future leaders to support the growth of the Gen AI Platform group.

Position Intro:
Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

we are looking for an experienced deep learning algorithm researcher with a strong focus on reinforcement learning to join the CTO group.
our CTO group is a small, elite research and development group responsible for shaping the next generation of algorithmic solutions powering our autonomous driving systems, crowd-sourced hd maps, and advanced driver-assistance technologies. the role focuses on building a learning-based planning system that has never been deployed at this scale before, leveraging reinforcement learning to address complex, interactive driving scenarios. you will work on policy decision making that provides a holistic, system -level view of autonomous behavior, while tackling a deeply challenging technological problem- taking ideas from research to real vehicles, developing algorithms, retraining models, validating results, and seeing the impact on the road within short development cycles. this is a unique opportunity to take part in early-stage, high-impact projects, develop proof-of-concepts using cutting-edge technologies, and influence our long-term technological direction. what will your job look like:
develop and optimize reinforcement learning-based planning algorithms, including network architectures, reward design, and training processes.
apply rl to complex, interactive driving scenarios, complementing classical planning where deterministic approaches fall short.
work with large-scale simulation environments to enable learning through interaction and diverse policy behaviors.
prototype algorithms in Python and migrate performance-critical components to efficient C ++ / gpu-accelerated implementations.
take part in fast, iterative development cycles, collaborating closely with the CTO and the team to validate ideas and demonstrate working solutions.