Alice

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. All of it runs on AgenticVerse, our platform for building, running, and reviewing RL environments. AgenticVerse is a full-fledged, production-grade SaaS application. A large and fast-growing community of researchers works in it every day. We're looking for a Senior Full-Stack Engineer to own AgenticVerse as a product, and to build the digital twins our environments are made of. What you'll do AgenticVerse • Own the AgenticVerse application end to end: frontend, backend, data model, and APIs • Build the workflows researchers live in: authoring tasks, launching runs, managing gyms, and reviewing results • Make a run readable at a glance: traces, verifier results, and where the agent went wrong • Hold a production bar: performance, reliability, access control, and observability as the user base grows • Take features from design to production, and talk to the researchers who use them Digital twins • Build digital twins of real products: web apps an agent can't tell apart from the real thing • Build the full stack behind each one: the UI, a real API backend, and the state that persists across a run • Expose every action the agent takes as an event the verifier can grade Requirements What we're looking for • 6+ years as a full-stack engineer, building production SaaS • BSc in Computer Science or a related field, preferably from a leading university • Strong TypeScript and React, and a backend language (Python preferred) • Experience designing APIs and data models for multi-user applications • Production experience with Docker and cloud infrastructure (AWS preferred) • High autonomy in an undefined space. You take a loose problem and come back with working code • Fluent written and spoken English Advantage • Hands-on AI engineering: building with LLMs, agents, or evaluations • Experience building developer tools or internal platforms • Experience with Kubernetes • 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 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 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 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 Alice secures AI apps, agents and models from build to production. Enterprises already run agents that talk to their customers, read their email and call their internal tools. Every conversation and every connection can be a way in for an attacker, or the point where an agent goes rogue. You find out how those agents break, on the stacks enterprises actually use, before they cause harm. You will be the first AI security researcher on the product team, reporting to the Director of GenAI Products. Your research becomes guardrails and red teaming tests in the Alice platform, proof customers can act on, and research our marketing team publishes. It also feeds the threat intelligence we deliver. You choose the questions, guided by what enterprises are deploying right now and by the wider research Alice does with the foundation model labs. Key Responsibilities • Research emerging agent risks. Study how agents fail when they talk to users, read untrusted content, call tools, share memory, act autonomously and work with other agents. That covers indirect prompt injection, tool and MCP misuse, data exfiltration, memory poisoning, privilege escalation across agents and unsafe autonomous actions. • Test and prove. Build the environments and experiments that show whether a risk is real, how often it happens and under which conditions. Work on the stacks enterprises use: agent frameworks, MCP servers, workflow tools and AI gateways. Build the sandboxes, detectors and graders that catch failures, and turn each one into a regression test anyone can rerun. Measure how often and how severely agents misbehave, and how that shifts across models, tools and harnesses. Report results with the numbers behind them, so others can rerun and trust them. • Shape the platform. Work with the product team to turn your findings into new guardrails and red-team tests in the Alice platform. • Inform go-to-market and threat intelligence. Share findings and evidence with sales, marketing and Alice's threat intelligence teams, so they can explain new risks to customers with proof behind them. • Publish. Turn research into technical posts, reports and talks with the marketing team, written to hold up with security practitioners, buyers and analysts. We support conference submissions such as Black Hat and DEF CON, including time to prepare and travel to present. Vulnerabilities you find go through responsible disclosure and get CVEs where they qualify. • Collaborate. Work with Alice's large research organization, which partners with leading hyperscalers and foundation model labs. Follow new papers, disclosures and exploits, and decide which ones matter for enterprises deploying agents. Success Looks Like 90 days in, you have published at least one research piece on enterprise agent risks. Its findings have shaped new protections in the Alice platform. Requirements • 4+ years in security research, offensive security, penetration testing or vulnerability research. • Hands-on experience with direct and indirect prompt injection, jailbreaks, data exfiltration and tool misuse against real systems. • Strong Python. You build your own tooling and test environments. • Working knowledge of how agents are built: tool calling, MCP, retrieval, memory and multi-agent orchestration, with hands-on use of at least one agent framework. • Familiarity with AI security frameworks (OWASP Top 10 for LLM Applications and for Agentic Applications, MITRE ATLAS) and with public agent safety and security benchmarks. • Experiment discipline: reproducible setups, controls, and enough runs to trust a result. • Clear writing and presentation: test results the product team can act on, and research that marketing can publish. • Fluent English, written and spoken. Nice to Have • Published research, CVEs, conference talks, or a bug bounty or CTF record in AI or application security. • Experience researching AI safety failures, such as harmful outputs or unsafe autonomous actions. • A background in adversarial machine learning. • Experience building or evaluating detection systems that use AI. • Experience working with product and engineering teams to turn research into shipped features. 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 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 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 Cybersecurity & Trust and Safety | RLGym We are looking for a Director of AI Research & Data Operations to lead and scale RLGym's research and data generation efforts, delivering high-quality training and evaluation data to frontier AI models at scale. This role combines research leadership, data science, and large-scale operational management. You will build and lead multidisciplinary teams of researchers, data scientists, domain experts, and operations specialists, transforming complex research challenges into scalable, high-quality data production systems. The ideal candidate brings experience managing large research and data operations, a strong understanding of modern AI and LLM development, and the ability to deliver high-quality datasets that advance frontier model capabilities, with a particular focus on cybersecurity and trust & safety. What you'll be doing • Lead and scale large AI research and data operations, managing multidisciplinary teams of researchers, data scientists, domain experts, and operational leaders. • Own the end-to-end generation and delivery of high-quality training and evaluation datasets for frontier AI models, ensuring scalability, consistency, and research value. • Define the research strategy, operational roadmap, and data generation priorities across cybersecurity, trust & safety, and emerging AI capabilities. • Build and optimize large-scale data production pipelines, combining human expertise, automated workflows, synthetic data generation, and AI-assisted research. • Establish rigorous data quality frameworks, including validation methodologies, quality assurance processes, benchmarking, and continuous improvement. • Lead research initiatives focused on generating realistic, challenging, and diverse datasets for LLMs, GenAI applications, and agentic AI systems. • Work closely with research, product, engineering, and data science teams to translate frontier model requirements into actionable research programs and scalable data deliverables. • Develop scalable systems for expert-driven data generation, evaluation, annotation, and human feedback, including workflows supporting supervised fine-tuning and reinforcement learning. • Define and track operational and research KPIs, balancing data quality, throughput, cost efficiency, and delivery timelines. • Build partnerships with external researchers, domain experts, and research organizations to expand data generation capabilities and domain expertise. • Drive innovation in data generation methodologies, evaluation benchmarks, and research infrastructure to continuously improve the quality and impact of RLGym's data. Requirements What we need to see • Proven experience leading and scaling large research, data science, AI/ML, or data operations teams. • Strong experience managing complex, high-volume data generation or research operations, with measurable quality and delivery outcomes. • Deep understanding of AI/ML development, LLMs, GenAI, and the role of training and evaluation data in improving model performance. • Experience designing and implementing data quality frameworks, evaluation methodologies, and scalable research workflows. • Ability to translate complex research objectives into structured execution plans and deliver results at significant scale. • Strong analytical and data-driven decision-making skills, with experience defining operational metrics and optimizing research processes. • Experience managing multidisciplinary teams and collaborating with research scientists, engineers, and domain experts. • Strong strategic leadership, operational execution, and cross-functional communication skills. • Familiarity with cybersecurity, AI security, or trust & safety challenges and their relevance to frontier AI model development. • 8+ years of relevant experience in AI/ML, data science, research leadership, large-scale data operations, or related technical fields. Ways to stand out • Experience delivering large-scale training or evaluation datasets to leading frontier AI labs. • Background in human feedback, RLHF, reinforcement learning environments, synthetic data generation, or expert-driven annotation programs. • Experience building data generation platforms, automated evaluation pipelines, or large-scale AI research infrastructure. • Familiarity with cybersecurity and trust & safety datasets, adversarial evaluations, or AI red-teaming methodologies. • Experience developing data quality measurement systems, including automated grading, expert calibration, and statistical quality control. 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 Alice is hiring a Senior Software Developer to lead the development of our internal malware research platform. This is a senior, hands-on role with end-to-end ownership of development and delivery. You'll be the technical authority — setting code-quality standards, making the architecture calls, and mentoring the developer team. What makes this role different is who you build for. Our users are our malware researchers, and they use the tool every day. Your job is to sit beside them, learn how they actually work, surface the heuristics and edge cases they carry in their heads, and build agentic tooling that compounds their productivity. The bar isn't "does it ship" — it's "do the researchers reach for it every day." Success is measured in researcher adoption and time saved, not features merged. Agentic workflows are core to how we build. You should be fluent using them and confident designing systems where agents run in production — with clear judgment about where an agent earns its keep versus where deterministic code or a human-in-the-loop is the right call. What You'll Do Lead development and delivery • Own technical execution end-to-end: implementation, code review, and release. • Translate research workflows and feature requests into well-scoped tasks with realistic, risk-aware estimates the team can plan against. • Manage day-to-day execution: unblock people, sequence work, catch problems early. • Set and defend the technical bar: review rigor, testing discipline, documentation, architectural consistency. Partner with the researchers — and amplify them • Embed with malware researchers to understand their workflow and capture the tacit knowledge and edge cases no spec ever wrote down. • Translate that knowledge into reliable agentic tooling — and know when an agent is confidently wrong before it ever reaches a researcher. • Spend roughly 5–10% of your time doing actual malware research (with structured onboarding) to stay close to how the tool is used. • Be willing to tell a researcher when a proposed workflow won't automate well — and explain why. Be the technical authority and mentor • Make the hard architecture and design trade-off calls. • Mentor through code review, pairing, and design discussions. Raise the level of everyone around you. • Dive deep on the critical, difficult features and bug fixes yourself. • Design agentic workflows into the architecture from the start, and build the evaluations and guardrails that keep them trustworthy. Requirements Must-have • 5+ years of software development experience, with a track record of delivering products to production — not just prototypes or POCs. • Strong Python, including async (asyncio), modern typing, and a disciplined testing approach (pytest). • Hands-on Playwright experience in production — not one-off scripts. • Production experience with agentic workflows: building, deploying, and operating LLM-powered systems that plan, call tools, and execute multi-step tasks — using a modern agent framework (e.g., LangGraph, the Anthropic Claude Agent SDK, the OpenAI Agents SDK, or DSPy). • Experience building evaluations and guardrails to measure agent quality and catch regressions before they reach a user (e.g., MLflow GenAI evaluation & tracing, LangSmith, or Braintrust). • Proven experience leading development efforts: estimation, task breakdown, code review, and mentoring. • Experience building tools used internally by expert users (vs. external end-user products), or a clear instinct for the difference. Nice to have • Background in cybersecurity, malware research, threat intelligence, or an adjacent security domain. • Experience with reverse-engineering tools, sandboxes, or malware-analysis pipelines. • RAG and retrieval pipelines (indexing, reranking, grounding) and a vector store (e.g., pgvector). • Cloud-native infrastructure (AWS, Kubernetes), containers (Docker), CI/CD (GitHub Actions), and observability stacks (OpenTelemetry, Grafana / Coralogix or equivalent). 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!