Alice (Formerly ActiveFence)

Description At Alice, our Cyber Threat Intelligence group thrives on curiosity and deep technical dive capabilities. We are looking for a Senior Threat Intelligence Researcher with a passion for CTI and a background in proxy research/ anti-bot defense/ web-scraping /threat hunting, with a proven ability to take initiative and conduct independent research with a track record of high-level results. In other words, not just an individual contributor, but a true talent that is seeking to make a mark in the industry. You will lead technical threat research, author analytical reports, and proactively monitor ongoing and emerging threats to keep us steps ahead of adversaries. Responsibilities • Hunting, detecting, monitoring, and researching threats against Alice clients. • Analysis of threat groups and TTPs across different fraudulent ecosystems. • Researching and monitoring multiple sources through the clear, deep, and the dark web. • Produce technical reports for clients describing threat actor TTPs, analysis and exploits relevant for Alice’s clients. Work closely with client account leads and stakeholders, as well as collaborating with fellow analysts to produce intelligence reports. • Review, enrich and provide analyst tradecraft for other team members as part of the delivery process. Prepare assessments of current threats and trends based on collection, research and analysis of classified intelligence collected by the teams. Requirements Must Have • Experience in one of the following fields: • - Anti-bot detection/research • - Proxy detection/research • - Web scraping development/detection/prevention • Experience in technical CTI threat hunting - databases, IPv4/IPv6 intelligence, • Experience with threat hunting platforms: VirusTotal, UrlScan, Greyhat Warfare, Shodan • Experience in analyzing threat groups and actors using OSINT, WEBINT methodologies • Darkweb and Cybercrime intelligence experience • Strong English communication skills: ability to clearly communicate intelligence by writing reports, or briefing clients and other stakeholders • Must have demonstrated experience in gathering and evaluating internet information from social media, chats and darknet forums • Great verbal and written communication skills Nice to Have • Scripting (Python, BASH, and/or equivalent) • Experience in operating threat intelligence collection platforms: Intel471, Recorded Future, CyberSixgill, Flashpoint and/or equivalent • Foreign language proficiency 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 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!

Description Alice.io (formerly known as ActiveFence) is 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, Alice 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 CBRN 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 As one of Alice's CBRN experts, you'll focus on ensuring the safety and integrity of Generative AI (GenAI) systems by leveraging your specialized knowledge in Chemical, Biological, Radiological, and Nuclear domains. You will create domain-specific prompts and evaluate AI-generated responses to help identify vulnerabilities and ensure content accuracy, reliability, and ethical integrity. We are seeking experts in one or more of the following specializations: • Biology – Molecular biology, genetics, biotechnology, and related fields • Chemistry – Organic, inorganic, physical, and analytical chemistry • Virology – Epidemiology, immunology, and infectious diseases • Nuclear Energy – Nuclear power generation, safety, and regulations • Radioactive Materials – Radioactive energy applications, safety, and compliance Key Responsibilities • Write domain-specific CBRN prompts, including adversarial prompts designed to test model vulnerabilities and resistance to generating dangerous outputs • Evaluate AI-generated responses for accuracy, scientific validity, and regulatory compliance • Identify and flag content that is incorrect, harmful, misleading, or ethically concerning • Provide constructive feedback to improve prompt design and content generation • Stay updated with current research, regulations, and best practices within your area of expertise Requirements Requirements • Advanced degree in a relevant CBRN field (Ph.D. preferred; Master's degree with significant experience will be considered) • Deep expertise in at least one of the following areas: Biology, Chemistry, Virology, Nuclear Energy, or Radioactive Materials • Excellent analytical skills with keen attention to detail • Strong written communication skills to articulate findings and recommendations clearly • Ability to work independently and manage time effectively in a remote environment Preferred Qualifications • Expertise in multiple CBRN domains • Experience with AI or machine learning projects • Previous experience in content moderation, academic review, red-teaming, or consulting roles • Familiarity with ethical considerations and challenges in AI-generated content • Knowledge of AI prompt engineering concepts and practices, including adversarial prompt writing All applicants will be required to complete a screening exam and background check. 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 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!

Description Alice identifies and tracks harmful content online. We support technology platforms, corporate enterprises, NGOs, and governments in their fight against terror, hate speech, disinformation, child sexual abuse, organized crime, and other malicious activities on the internet. We are seeking a highly motivated and detail-oriented Intelligence Operations Analyst to join our team. In this role, you will conduct advanced investigations, analyze digital ecosystems, monitor cyber and insider threats, and transform raw intelligence into actionable insights that help address some of the internet’s most complex threats. Key Responsibilities: • Conduct deep-dive research and analysis on online threats, including criminal networks, exploitation, disinformation, and other harmful digital activity. • Generate actionable intelligence reports and high-quality insights. • Lead and manage operational workflows, from data collection to intelligence delivery. • Monitor and anticipate evolving tactics of malicious actors to stay ahead of emerging threats. • Collaborate cross-functionally with technical and operational teams for intelligence gathering efforts. • Maintain and enhance intelligence knowledge bases, infrastructure and analytical tools to improve operational efficiency. • Familiarity with scripting and AI tooling to streamline collection, triage leads, and reduce manual work. • Contribute collection methods, tradecraft, and tooling improvements back to the team. Requirements We are looking for a tech-savvy, proactive, and mission-driven expert with a “Can Do!” approach and the following skills and qualities: Must Have: • Background in Intelligence or equivalent. • Proven OSINT/ WEBINT/ Cyber HUMINT expertise and experience conducting operational investigations in web and mobile environments. • Exceptional presentation and people skills, with customer-facing or B2B/Tech/Sales experience as a plus. • Excellent written and verbal communication skills in English (mandatory); additional languages are a significant advantage. Nice to Have: • Familiarity with digital marketing, mobile and cyber threat ecosystems, or AdTech (strong advantage). • Strong trend analysis capabilities and a sharp ability to identify evolving methodologies of online threat actors. • A proactive, fast learner with curiosity, adaptability, and out-of-the-box thinking. • Solid online security orientation and ability to learn and adopt new intelligence tools quickly. • Tech-driven mindset, with experience in data or technology-oriented organizations. • Comfortable with scripts and AI tooling to accelerate collection and surface leads. • Working knowledge of how technical underground campaigns operate, methods, TTPs, and the terminology of technical underground activity understood from the threat actor's side, not only the analyst's 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 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.

Description • Department: Center of Excellence / People Team • Report to: HR-Tech, Data Insights, Comp & Benefits Lead. • Location & Work Model: Ramat Gan, IL — Hybrid • Role Type: Full-Time About the Role We are seeking a detail-oriented, People Operations & HRIS Specialist to join our Center of Excellence team and keep our core HR domains running smoothly. This role focuses on operational execution, data integrity, system maintenance, and automation across HRIS, People Analytics, Compensation & Benefits, and AI-enabled HR workflows. If you are methodical, quality-oriented, a proactive self-starter who is a creative problem solver, highly adaptable, and comfortable working in an agile and fast-paced environment, we are thrilled to work with you. Key Responsibilities: • HRIS • Execute employee updates across HRIS, HR tools, and market data. • Lead onboarding and app ownership to ensure quality experiences and HR team enablement. • Audit HR system entries for compliance and privacy standards. • Ensure data accuracy across primary HRIS platforms • Employees Life Cycle: • Manage employee lifecycle updates, global onboarding/offboarding, and platform maintenance while ensuring data privacy and compliance. • Being the primary contact for global employees and RoW EoR providers, managing onboarding, offboarding, and lifecycle changes, etc. • People Analytics & Reporting: • Ensure data integrity, build recurring reports as well as analysis, and track standard HR KPIs. • Compensation & Benefits Data: • Maintain compensation tables, job-to-benchmark mappings, and benefits accuracy (vacation accruals, meal policies, etc.). • Maintain employee data-hygene ahead of review and merit cycles. • Pull benchmark data for designated roles and locations. • AI4HR & Automations: • Run operational automations, AI tools, and letter generation with write-back into HRIS, and manage attrition risk cycles and audit data outputs. • Collaboration & Stakeholder Partnerships • Support the enablement of HRBPs and Talent Acquisition teams. • Collaborate with Business Managers, Legal, Finance, IT, and AI Enablement teams. • Growth opportunities offered in continuous learning across analytics, global HRIS, and compensation. Requirements • Education: Bachelor’s degree in Human Resources, Business Administration, Information Systems, or a related field. • Experience: 2+ years in People Operations or HRIS in a global tech organization, including at least a year of hands-on experience with AI tools/automations and Compensation & Benefits processes. • Competencies: Meticulous execution, strong analytical and problem-solving skills, growth mindset, proactive self-starter, highly adaptable, and comfortable working in an agile and fast-paced environment. • Fluent English, and experience working in a global and multi-national company. 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 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!

Description Alice secures AI apps, agents and models from build to production. Enterprises are shipping AI faster than they can secure it, attack techniques evolve constantly, and every company draws the line on acceptable behavior in a different place. No enterprise can keep up with that on its own, and Alice is how they do it. At the heart of the platform sit two engines: the attack engine finds the failures before attackers do, and the defense engine blocks them in production without breaking legitimate traffic. We are hiring a Senior PM who will lead the strategy, vision, and execution of our core engines. This PM sits inside the DS workflow — and can read the notebooks, argue about the eval set, query the data themselves — and translate between model reality and customer reality in both directions. This is not a PM role that writes a PRD and waits. It is a PM role where “I pulled the data, here’s what moved the F1, and here’s what it means for customers” is the expected level of answer. What you'll own Attack engine roadmap. Coverage and depth of adversarial techniques, novel-attack generation quality, agentic/multi-turn testing, zero-day and model-risk research productization. You decide which harm categories, modalities, and attack families we invest in next, and you defend that call with evidence. Defense engine roadmap. Classifier quality across policies and languages, the precision/recall/latency triangle, customer-specific tuning, and the path from "a red team finding" to "a guardrail that blocks it." Closing that attack→defense loop is the single highest-leverage thing this role can do. Evaluation as a product surface. Own how we define, measure, and publish model quality — benchmark datasets, eval harnesses, golden sets, regression gates, and the metrics customers actually see. When a customer asks "how accurate is this," the answer and the evidence behind it are yours. Data strategy for the engines. What data we collect, label, retain, and feed back into training; how customer feedback (overrides, false-positive reports, session feedback) becomes a training signal; and how all of it stays within our customer data commitments The DS↔Engineering seam. Model artifacts, schemas, and pipelines. You keep that contract explicit and get research into production. Day to day • Run discovery with AI Product Owners, security engineers, and CISOs on what attacks they fear and what false positives they can't tolerate • Turn fuzzy customer harm into a testable engine requirement with a measurable bar • Prioritize the DS backlog with the DS lead; make the hard calls on coverage vs. depth vs. latency • Own the quality narrative for sales, solution engineering, and security reviews — backed by numbers you can defend • Partner with design and platform PMs so engine capability becomes a usable product, not a config flag • Track competitive and academic movement in adversarial ML and guardrails, and translate it into roadmap pressure Requirements Required • 5+ years in product management, with at least 2 shipping ML/data-science-backed products • LLM-era experience: evals, prompt engineering, RAG, agentic systems, LLM-as-judge and its failure modes • You can reason about model evaluation properly: precision/recall tradeoffs, class imbalance, train/test leakage, annotation quality, why a benchmark number is or isn't trustworthy • Experience defining and defending model quality metrics to customers or regulators • A track record of working with data scientists and research engineers Strongly preferred • Security or adversarial ML background • Familiarity with data pipeline tooling/feature and labeling infrastructure • Experience with enterprise buyers in regulated industries 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 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!

Description Alice is a leading platform for Trust & Safety teams worldwide, combining cutting-edge AI with world-class expertise to protect users from the widest spectrum of online harms and keep customers two steps ahead of bad actors. We are looking for a Senior GenAI Data Scientist with strong hands-on experience in GenAI red teaming, adversarial testing, machine learning, and large-scale data analysis. You will develop the data science and ML capabilities behind an automated GenAI red-teaming platform. You will analyze and cluster adversarial prompts, identify emerging attack patterns, build models for automated prompt generation and mutation, and develop data-driven methods for prioritizing and evaluating security risks across different AI models. We are looking for a hands-on technologist with deep expertise in data science: clustering, scaling, machine learning, and statistical analysis. Key Responsibilities • Build agents that act as data scientists at scale, reasoning, planning, and executing multi-step workflows to generate and analyze adversarial attacks. • Manage and analyze prompt and response data from multiple sources (red-team campaigns, model evaluations, synthetic attacks); clean, curate, normalize, and label it for analysis. • Analyze large volumes of structured and unstructured data to uncover trends, clusters, and anomalies, such as attack families, jailbreak techniques, and previously unseen patterns. • Develop ML models and predictive algorithms to automate red-teaming. • Build evaluation and monitoring pipelines to measure attack success and track model behavior across models and providers. • Use statistical techniques and experiments to validate findings and ensure accuracy and reproducibility. • Take research to production: build reliable, scalable systems optimized for cost and latency, with solid engineering practices (testing, CI/CD, telemetry). Requirements Must-Have • M.Sc. in CS/EE/Math/Statistics or a related field; Ph.D. is an advantage. • 5+ years of hands-on data science or ML experience, programming in Python or R, and SQL. • 3+ years of experience with Scikit-Learn and PyTorch. • Hands-on experience in GenAI red teaming, adversarial testing, or LLM security. • Hands-on experience building and deploying LLM-powered or ML systems in production. • Strong understanding of LLM design patterns, including prompt engineering, tool calling, structured outputs, and RAG. • Strong grasp of clustering, embeddings/NLP, semantic similarity, and anomaly/novelty detection. • Experience building classification, ranking, or prioritization systems. • Solid background in statistics, experimental design, and model evaluation. • Experience with Cradle, Apache Hadoop, and Spark, and with scaling ETL and data pipelines. Nice-to-Have • Experience building LLM agents or multi-agent workflows with frameworks such as LangGraph, LangChain, or OpenAI Agents SDK. • Familiarity with evaluation frameworks, MLOps pipelines, and AI observability tooling. • Data visualization with Tableau, Power BI, or matplotlib. • Experience with AWS, including Lambda, S3, and EC2. • Experience running inference on GenAI models via Hugging Face, Bedrock, and Azure. • Background in Trust & Safety, security, or regulated environments. Alice is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the world's largest enterprises every day. Through Real-Time Guardrails and continuous Red Teaming, backed by deep threat intelligence and coverage of 117+ languages, Alice helps AI, security, and policy teams build GenAI products that stay safe at global scale. 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 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!

Description You will define Alice's research agenda in AI safety, security, and model evaluation - and drive the science that delivers it. The benchmarks you design will become the new world-standards. The methods you develop will run inside the labs defining what AI becomes. Specifically, the org you will be leading technically, is Alice Labs, that includes AI researchers from across Alice departments and directly within the Alice Labs department. This is a role for someone whose strength is in scientific pragmatism. Pushing the envelope on how new frontier research should apply to AI safety and security. You will ship three new benchmarks/evals every month, one breakthrough benchmark each quarter, and at least one paper per quarter at top-tier conferences (eg. NeurIPS, ICML, ICLR, ACL, or IEEE S&P etc) You will also represent Alice externally - at conferences and events, with research partners, and on visits to frontier labs. Travel is an important part of this role: it is how science stays sharp and how Alice stays at the frontier. What you will own • The research roadmap - safety, security, red teaming, adversarial robustness, LLMs, agents, and multimodal systems and more. • Benchmark and evaluation design - frameworks and methods that surface real vulnerabilities in frontier models • Research relationships with leading frontier labs and academic institutions • Collaborative engagements with technical teams at partner organizations • Alice's published research output and scientific reputation • The pipeline from research to product - working with engineering and product to ship findings at scale Requirements • A research leader whose primary strength is scientific, yet pragmatic and grounded in the real needs of the future - someone who has worked at the frontier and wants to push it further • Deep expertise in AI safety, security, red teaming, or adversarial robustness • A strong publication record at leading AI or security venues • Experience mentoring or leading senior researchers • Comfort engaging with technical partners and collaborators • Willingness to travel, including internationally • PhD in AI, ML, CS, or security is a strong advantage - a compelling research record without one is equally welcome 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 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!

Description Alice is seeking to hire a Technical Fraud Threat Analyst to join the Fraud team. In this role, you will research, evaluate, and analyze fraud detection mechanisms, abuse vectors, and platform vulnerabilities across a wide range of online services. You will generate strategic insights from diverse intelligence sources, conduct OSINT investigations, and identify emerging fraud tactics and behavioral vulnerabilities. In addition to research and analysis, you will leverage technical tools and infrastructure to support investigations, simulate real-world abuse scenarios, and enable scalable fraud research. Your work will culminate in actionable intelligence and mitigation recommendations for clients. Key Responsibilities: • Conduct investigations and identify fraud methods across web and mobile platforms (social media, forums, apps, and the dark web). • Design and execute fraud research methodologies, including technical validation of abuse scenarios. • Build, maintain, and operate research environments and technical tooling that support fraud investigations and red team activities. • Analyze large datasets, telemetry, and technical artifacts to uncover patterns and deliver actionable insights. • Develop or leverage automation to improve research workflows and increase operational efficiency. • Monitor third-party websites and channels for malicious activities and fraud risks. • Prepare detailed reports with findings, insights, and actionable recommendations. Requirements Required Skills & Experience: • 3+ years of experience in intelligence analysis, CTI, fraud detection, security research, or a similar technical investigative role. • Strong understanding of OPSEC principles. • Strong knowledge of WEBINT and OSINT, including social media, apps, and the dark web. • Comfortable working with technical environments, logs, APIs, automation, and investigative tooling. • Ability to troubleshoot technical issues and rapidly learn new technologies, tools, and research methodologies. • Strong analytical, communication, and reporting skills. • Proactive, creative, and quick to learn new tools and practices. • Fluent in English (additional languages are a plus). • Comfortable with sensitive content. Advantage: • Experience conducting red team exercises on online platforms to identify abuse methods and bypass mechanisms. • Experience with scripting or programming (e.g., Python, JavaScript, or similar) to support research and automation. • Experience developing or maintaining research infrastructure, automation pipelines, or investigative tooling. • Familiarity with cloud environments, virtualization, or containerized environments. • Platform familiarity: Hands-on experience with social media, apps, and forums. • Experience working with APIs, web technologies, or automation frameworks. • Experience with multiple languages. 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 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!

Description As an Adversarial AI Evaluation Scientist, you will review and validate adversarial agent tasks: indirect prompt-injection (IPI), data-exfiltration, tool-misuse, and related attack scenarios to ensure each one is realistic, fair, deterministic, reproducible, and correctly graded. You will decide whether a scenario genuinely demonstrates a model vulnerability or merely an artifact of how the task was built, and you will combine adversarial-security judgment with statistical analysis and LLM-assisted tooling to find quality issues, analyze attack-success patterns, and recommend or automate improvements. Responsibilities • Review adversarial tasks for realism and threat-model soundness: is the attacker’s capability plausible, can the attacker actually reach the poisoned content, and is the target system a realistic one? • Assess attack fairness and attribution: confirm the harm is driven by the adversary (not pre-baked into the system prompt, vouched for by a trusted layer, or otherwise rigged), so a careful agent could plausibly pass. • Validate grading correctness: verify that success/failure criteria, reward logic, and deterministic checks detect the intended harm, with no reward hacks, token-collapse, or evadable gates. • Measure and interpret attack success rate (ASR@K) and its variance; verify deterministic, reproducible behavior across repeated executions. • Judge attack quality - novelty vs. known patterns, sophistication, stealth, and coverage across harm types and target surfaces. • Identify anomalies and systemic issues across large sets of tasks (e.g. scenarios that succeed ~100% of the time against every model - a red flag for an unfair task, not a win). • Define validation guidelines, acceptance criteria, quality thresholds, and release gates for adversarial tasks. • Use LLMs and AI models to analyze attack failures, identify root causes, and assist with task or grader fixes. • Build automated validation, regression, and quality-monitoring pipelines for adversarial task sets. • Work closely with red-teamers, researchers, and task authors to improve attack design, fairness, and reliability. Requirements Must Have • 4+ years in an analytical, ML, security-research, or applied-research role, including hands-on work with adversarial ML, LLM security, red-teaming, or AI safety evaluation. • Bachelor’s or Master’s in Computer Science, Machine Learning, Statistics, a related quantitative field, or equivalent practical experience. • Working knowledge of prompt injection / indirect prompt injection, jailbreaks, data exfiltration, or tool-misuse attacks against LLM-based systems or agents. • Strong Python and data-analysis skills. • Solid grounding in statistics and experiment design: distributions, variance analysis, hypothesis testing, and anomaly detection: applied to evaluation and attack-success measurement. • Experience building or auditing data-driven validation, evaluation, or quality frameworks. • Experience using LLMs for analysis, evaluation, code generation, or automated remediation. • Strong understanding of reproducibility, deterministic systems, and automated testing. • Sharp adversarial thinking and the ability to spot subtle ways a test can be unfair, gameable, or mis-graded. • Excellent analytical, problem-solving, and communication skills. Preferred Skills That Set You Apart • Certifications in offensive cybersecurity (e.g., OSWA, OSWE, OSCE3, SEC542, SEC522) • Experience designing or evaluating AI agents, LLM-powered applications, or agentic workflows (e.g. email/doc assistants, tool-using agents). • Familiarity with RL Gym-style task formats, Gymnasium/OpenAI Gym, or agent-evaluation harnesses. • Experience red-teaming production AI systems or building adversarial benchmark datasets. • Experience with automated evaluation pipelines, regression testing, and quality gates. • Familiarity with safety/security taxonomies (harm types, attack patterns) and threat modeling. 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 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!

Description Alice is seeking to hire a Fraud Threat Analyst to join the Fraud team. In this role, you will be responsible for researching, evaluating, and analyzing fraud detection mechanisms and vulnerabilities across various platforms and solutions. You will generate strategic insights from diverse intelligence sources, conduct OSINT investigations to identify fraud risks, and monitor online platforms to detect malicious activities. You will also focus on uncovering fraud tactics, behavioral vulnerabilities, and process bypasses while delivering actionable mitigation recommendations to clients. Key Responsibilities: • Conduct investigations and identify fraud methods across web and mobile platforms (social media, forums, apps, and the darknet). • Analyze large datasets to uncover patterns and deliver actionable insights. • Monitor third-party websites and channels for malicious activities and fraud risks. • Prepare detailed reports with findings, insights, and actionable recommendations. Requirements Required Skills & Experience: • 3+ years of experience in intelligence analysis, CTI, or fraud detection. • Strong understanding of OPSEC principles. • Strong knowledge of web intelligence (WEBINT) and OSINT, including social media, apps, and the dark web. • Strong analytical, communication, and reporting skills. • Proactive, creative, and quick to learn new tools and practices. • Fluent in English (additional languages are a plus). • Comfortable with sensitive content. Advantage: • Experience in conducting red team exercises on online platforms to uncover potential abuse methods and bypass mechanisms • Experience with multiple languages. • Platform familiarity: Hands-on experience with social media, apps, and forums. • Experience with automation tools or scripting. 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 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!

Description Alice.io (formerly known as ActiveFence) is 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, Alice 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 Alice'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 Requirements • 3+ years of experience in intelligence analysis, CTI, or fraud detection • Strong knowledge of OSINT/WEBINT research methodologies (social media, apps, forums, darknet) • Understanding of cyber threat trends (data leaks, malware, blackhat/grey-hat spaces) and fraud mechanisms • Strong understanding of OPSEC principles • Ability to analyze large datasets and present complex findings clearly • Fluent in English Preferred Qualifications • Native or near-native fluency in Chinese or Russian, including online terminology used in threat actor communities • Experience conducting red team exercises to uncover abuse methods and bypass mechanisms • Platform familiarity with social media, apps, and forums frequented by threat actors • Experience with automation tools or scripting for research efficiency • Background in law enforcement, military intelligence, or corporate security All applicants will be required to complete a screening exam and background check. 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 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!

Description Alice's RL Environments team builds adversarial environments that the world's leading AI labs use to test and train their most capable agents. Each environment is a working replica of a real system with an attack planted inside it. A verifier decides whether the agent held up. The environments run on AgenticVerse, our platform for building and running RL environments at scale. A large and fast-growing community of researchers works on it every day. We're looking for a Senior AI Engineer to own those environments and the evaluation that decides which tasks are good enough to train a frontier model. What you'll do RL environments • Build RL environments end to end: the replica systems, the planted attack, and the verifier that grades the run • Own environment and verifier design for tool-use, web, and computer-use agents • Make environments airtight: sandboxed, free of eval-awareness cues, and closed to reward hacking • Read rollout traces, find where the agent took a shortcut, and close it Task evaluation • Own Alice's proprietary task evaluator, the engine that decides whether a task is ready for a frontier lab • Make it the industry's sharpest quality bar for RL tasks: realism, threat-model accuracy, and training value • Keep it learning: every customer review and every post-training run makes it stricter Run infrastructure • Scale the run pipeline: queue-driven runners on Kubernetes, per-run sandboxes, and a grader the agent can't reach • Package environments so they drop into customer training and evaluation pipelines Working with Research • Work with researchers as one team, from a task idea to an environment that's ready to train on • Turn what post-training runs reveal into fixes in the environments • Review designs and code, and raise the engineering bar for the people around you Requirements What we're looking for • 6+ years as a backend engineer, building production systems • BSc in Computer Science or a related field, preferably from a leading university • Strong Python, and production experience with Docker, Kubernetes, and cloud infrastructure (AWS preferred) • Experience designing distributed systems and message queues • A track record of owning systems from design to production • High autonomy in an undefined space. You take a loose problem and come back with working code • Fluent written and spoken English Advantage • Academic background in AI or machine learning: a degree, thesis, or research • Hands-on AI engineering: building with LLMs, agents, or evaluations • Exposure to post-training: RL fine-tuning, reward design, or rollout analysis • Background in security, red teaming, or trust and safety 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 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!

Description We are seeking a Senior AI Researcher to lead post-training evaluation, red-teaming, and reinforcement learning (RL) gym audits on open-weight models. The ideal candidate will establish rigorous benchmarking methodologies, evaluate large language models (LLMs) against complex threats like Indirect Prompt Injections (IPI), and construct post-training evaluation pipelines that accurately measure realistic frontier-level security capabilities. Key Responsibilities RL Post-Training & Benchmarking • Execute post-training runs (e.g. GRPO) using mainstream open-weight generalist models against security-focused RL environments, targeting threat vectors like Indirect Prompt Injection (IPI). • Reward Diagnostics & Trace Analysis - Analyze live loss curves and rollout traces to identify reward hacking, lazy policy convergence, and flawed or over/under-specified verifiers. Task & Environment Auditing • Review tasks and multi-turn environments (including tool use, web navigation, and computer use) for realism, threat model accuracy, data distribution, and dataset balance. Performance Reporting (Gym Cards) • Generate comprehensive evaluation cards detailing hill-climbing performance uplift across checkpoints, failure modes, tokens/turns per rollout, and task-level success rates. Integration & Orchestration • Integrate dockerized environments (e.g., Harbor format) into internal training frameworks, optimizing reset/statefulness semantics, concurrency, and throughput ceilings. Requirements Required Qualifications • Technical Background: M.S. or Ph.D. in Data Science, Machine Learning, Computer Science, or equivalent practical experience in deep learning. • RL & Post-Training Expertise: Strong hands-on experience training large-scale models using RL algorithms (e.g. GRPO, PPO) on open-weight architectures. • AI Security Expertise: Solid understanding of LLM vulnerabilities, red-teaming methodologies, and defensive alignment against IPI attacks. • Infrastructure Skills: Proficiency in PyTorch, Docker containerization, and distributed training architectures. • Diagnostic Skills: Ability to analyze agent rollout traces, craft deterministic rubrics/verifiers, and debug complex reward shaping flaws. Preferred Qualifications • Prior experience working with standard RL gym formats, such as Harbor. • Experience evaluating complex agentic workflows in tool-use or web-browser environments. • Familiarity with evaluating open-weight models similar to Llama or Mistral against adversarial workloads. 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 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!

Description We are seeking an experienced Tech Lead to manage the Domain Experts covering reverse engineering, malware research, and vulnerability research. This role is dedicated to the quality of intent analysis for cybersecurity prompts that an AI system could not confidently classify as benign or malicious, across the domains of the team. You need to be a hands-on expert in your own field, with enough working knowledge of reverse engineering, malware research, and vulnerability research to judge prompts and guidelines that cross into the other team's domains. You also need to be independent, organized, and able to lead technical experts. What you'll do: • Lead and manage the Domain Experts of the team (Vulnerability Research & Reverse Engineering, Windows Malware Research, Linux/MacOS Malware Research, Android/iOS Security Research): priorities, workload, and performance • Route incoming rows to the team's domains and rebalance freelancer capacity inside the team as row volume shifts • Track team quality (agreement and disagreement rates, QA findings) and throughput, and report to the Group Manager • Resolve escalated edge cases and prompts that span several domains, and work with the other Tech Lead when a prompt crosses into their field • Keep the annotation guidelines consistent across the team's domains and propose updates • Annotate or review directly when needed to unblock the team Requirements • Minimum of 7 years of proven, hands-on experience in reverse engineering, malware research, or vulnerability research, with deep expertise in at least one of them • Working knowledge across all domains of the team, enough to assess and coach the Domain Experts in each • Solid working knowledge of the other team's fields: reverse engineering, malware research, and vulnerability research, including how malware behaves, how binaries are analyzed, and how exploits are built • At least 2 years of experience leading or mentoring technical specialists (team lead, tech lead, or senior reviewer) • Experience with quality processes such as QA sampling, calibration sessions, and quality metrics • Strong analytical judgment: able to infer a user's underlying goal from a short prompt and separate defensive, educational, and research use from attack preparation • Clear written and verbal communication in English Nice to have: • GIAC GREM, OSED, OSCP • Demonstrated online achievements, write-ups, or contributions on platforms such as HackTheBox, Pwn2Own, TryHackMe, Bug Bounty programs, or published security research. 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 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!

Description About the Role We are looking for a Head of RL Gym to own the end-to-end delivery, quality, and scaling of RL Gym programs for our strategic AI partners. You will work closely with frontier-model teams, Delivery, Product, Sales, Research, and Operations to turn complex customer and model-development needs into high-quality, scalable programs. What You’ll Own • Own partner delivery from scoping through launch, execution, scaling, and iteration. • Translate research and model needs into clear program requirements, workflows, and success metrics. • Work closely with frontier-model teams to identify model gaps and design RL Gym programs that address them. • Own quality standards and quality assurance, ensuring consistent, reliable outputs across programs. • Build the processes, systems, and operating model required to scale programs efficiently without compromising quality. • Partner with Sales on customer discovery, solution design, scoping, and expansion opportunities. • Work closely with Product to translate partner needs and operational learnings into product requirements and roadmap priorities. • Build strong feedback loops across customers, model teams, Sales, Product, and Operations. • Own operational performance across quality, capacity, timelines, cost, throughput, and partner satisfaction. • Build and lead the program management and operations function as the business scales. Requirements What We’re Looking For • 7+ years in program management, product, operations, consulting, or similar roles. • Strong experience owning complex, cross-functional programs at scale. • Proven ability to build scalable operating processes and maintain a high quality bar. • Excellent product judgment and ability to turn ambiguous problems into structured execution. • Experience working with technical or enterprise customers. • Strong analytical, communication, and stakeholder-management skills. • High ownership and comfort operating in fast-moving environments. Strong plus: experience with AI, RLHF, model evaluation, data operations, frontier AI labs, or technical platforms. Success Looks Like • RL Gym programs scale rapidly while maintaining consistently high quality. • Partners trust us to deliver complex programs reliably. • Sales can confidently scope and grow RL Gym opportunities. • Product decisions are informed by real partner and operational needs. • Quality, capacity, throughput, and operational performance are measurable and continuously improving. 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 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!

Description Alice is 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 Requirements Must-Have: • At least 3 years of proven experience in one of the following: Research in Android/Windows/Mac/Linux • Low-level reverse engineering or development • Proficiency in one or more programming languages: Java, Python, JavaScript, or C/C++ • Experience with reverse engineering tools and decompilers (e.g. JADX, JEB, IDA Pro, Ghidra) • Familiarity with instrumentation tools like Frida or debugging tools such as GDB/LLDB • Understanding of networking fundamentals and protocols • Must have a valid international government-issued photo ID (e.g., current passport, or international driver's license) for identity verification and global client interaction Nice-to-Have: • Experience with Android development • Familiarity with Android frameworks, including Flutter, React Native, or Unity • Understanding of Android application security • Familiarity with the Android malware ecosystem and techniques • Experience in building automated tools • Experience with writing detailed reports in English 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 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!

Description We are seeking an experienced Tech Lead to manage the Domain Experts covering penetration testing, red teaming, cloud security, and ICS/OT (SCADA) security. This role is dedicated to the quality of intent analysis for cybersecurity prompts that an AI system could not confidently classify as benign or malicious, across the domains of the team. You need to be a hands-on expert in your own field, with enough working knowledge of penetration testing, red teaming, and cloud security to judge prompts and guidelines that cross into the other team's domains. You also need to be independent, organized, and able to lead technical experts. What you'll do: • Lead and manage the Domain Experts of the team (Enterprise Red Teaming, Web Application Security, Cloud Redteaming, ICS/OT (SCADA): priorities, workload, and performance • Route incoming rows to the team's domains and rebalance freelancer capacity inside the team as row volume shifts • Track team quality (agreement and disagreement rates, QA findings) and throughput, and report to the Group Manager • Resolve escalated edge cases and prompts that span several domains, and work with the other Tech Lead when a prompt crosses into their field • Keep the annotation guidelines consistent across the team's domains and propose updates • Annotate or review directly when needed to unblock the team Requirements • Minimum of 7 years of proven, hands-on experience in penetration testing, red teaming, cloud security, or ICS/OT (SCADA) security, with deep expertise in at least one of them • Working knowledge across all domains of the team, including ICS/OT protocols (Modbus, DNP3, S7comm, OPC UA) and PLC and SCADA architectures, enough to assess and coach the Domain Experts in each • Solid working knowledge of the other team's fields: penetration testing, red teaming, and cloud security, including common attack paths, tooling, and how their techniques appear in real intrusions • At least 2 years of experience leading or mentoring technical specialists (team lead, tech lead, or senior reviewer) • Experience with quality processes such as QA sampling, calibration sessions, and quality metrics • Strong analytical judgment: able to infer a user's underlying goal from a short prompt and separate defensive, educational, and research use from attack preparation • Clear written and verbal communication in English Nice to have: • OSEP, GCPN, GIAC GICSP • Demonstrated online achievements, write-ups, or contributions on platforms such as HackTheBox, Pwn2Own, TryHackMe, Bug Bounty programs, or published security research. 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 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!

Description Alice is seeking a Fraud Team Leader to join and lead analysts within the Fraud group. In this role, you will guide a team of analysts in researching, evaluating, and analyzing fraud detection mechanisms, abuse vectors, and platform vulnerabilities across a wide range of online services. You will set the team's research direction, generate strategic insights from diverse intelligence sources, and oversee OSINT investigations that identify emerging fraud tactics and behavioral vulnerabilities. Beyond hands-on research and analysis, you will drive the use of technical tools and infrastructure to support investigations, simulate real-world abuse scenarios, and scale the team's fraud research capabilities. You will be accountable for delivering high-quality, actionable intelligence and mitigation recommendations to clients. Key Responsibilities • Lead, mentor, and develop a team of fraud threat analysts, including task allocation, prioritization, and performance feedback. • Set research priorities and methodologies in alignment with client needs and business objectives. • Oversee and conduct investigations into fraud methods across web and mobile platforms (social media, forums, apps, and the dark web). • Design and guide the execution of fraud research methodologies, including technical validation of abuse scenarios. • Own the strategy for building, maintaining, and operating research environments and technical tooling that support fraud investigations and red team activities. • Analyze large datasets, telemetry, and technical artifacts, and guide the team in uncovering patterns and delivering actionable insights. • Serve as a primary point of contact for clients and internal stakeholders, presenting findings and translating research into strategic guidance. Requirements Required Skills & Experience • 5+ years of experience in intelligence analysis, CTI, fraud detection, security research, or a similar technical investigative role. • 2+ years of experience leading or mentoring analysts, either in a formal management role or as a technical/team lead. • Proven ability to manage multiple projects, set priorities, and deliver under tight timelines. • Strong understanding of OPSEC principles and experience implementing them at a team level. • Strong knowledge of WEBINT and OSINT, including social media, apps, and the dark web. • Comfortable working with technical environments, logs, APIs, automation, and investigative tooling. • Fluent in English (additional languages are a plus). 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 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!

Description Alice.io (formerly known as ActiveFence) is 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, Alice 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 Requirements • Proven experience with Generative AI models (direct technical experience not required) • Understanding of risk taxonomies (e.g., harm categories, policy tiers) • Strong attention to detail and organizational capabilities • Ability to manage multiple tasks simultaneously and meet deadlines • Ability to balance creativity with policy sensitivity Language Requirements For Creative Prompt Design focus: We are actively seeking native speakers in the following languages: • English | Italian | Spanish | German | French | Japanese | Chinese (Mandarin) | Korean | Arabic • Native-level fluency is essential for crafting culturally authentic, nuanced prompts that reflect real-world linguistic patterns and regional contexts. Preferred Qualifications • Strong creative writing background (journalism, fiction, or linguistics) • Familiarity with various model types (Text-to-Text, Text-to-Image, Text-to-Video) • Experience with prompt injection techniques, jailbreaks, and red-teaming methodologies • Prior work in model evaluation, prompt engineering, or safety analysis • Regional expertise or cultural fluency in specific geopolitical areas • Proficiency in one or more non-English languages All applicants will be required to complete a screening exam and background check. 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 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!

Description Alice is 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. Requirements Must-Have: • 2 years of proven experience in cybersecurity or software development: Cybersecurity experience must include hands-on work such as malware analysis, reverse engineering, deep-dive SOC investigation, mobile/APK analysis, or penetration testing • Strong understanding of Java object-oriented programming • Ability to trace execution flow through code analysis • Comprehensive knowledge of cybersecurity, networking, and programming fundamentals • Proficient English communication skills (reading and writing) • Must have a valid international government-issued photo ID (e.g., current passport or international driver's license) for identity verification and global client interaction Nice-to-Have: • Computer Science degree • Proficiency in multiple programming languages (e.g., JavaScript, C/C++) • Experience with disassemblers such as IDA Pro or Ghidra • Experience with decompilers such as JADX or JEB • Familiarity with instrumentation frameworks like Frida or Xposed • Experience with HTTP debugging and network analysis tools (e.g., Fiddler, HTTP Toolkit, Burp Suite, Wireshark) • Knowledge of common malware threats and techniques 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 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!