As a Research Scientist working on Agent Robustness, you will work on the fundamental challenges of building AI agents that are safe and aligned with humans.
\nFor example, you might:
\nIdeally you'd have:
\nNice to have:
\nOur research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organisational culture. We will not ask any LeetCode-style questions. If you're excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn't perfectly align with every requirement.
\nCompensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
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\nYour responsibilities will include developing self-service security frameworks and 'paved roads' that allow engineering teams to ship secure code by default. You will focus on automated guardrails for common vulnerabilities, while prioritising deep-dive design reviews into complex business logic and data isolation issues. You will also partner with product and engineering teams to review designs early, contribute to threat modelling for new features and complex initiatives, and provide clear, actionable security guidance.
\nYou will research emerging threats and evolving best practices, specifically regarding AI and LLM safety, and implement controls to secure these workflows. You will manage and evolve our approach to external penetration testing and bug bounties, driving remediation for findings and treating vulnerability management as an engineering problem.
\nYou will contribute to the long-term roadmaps, metrics, and strategic planning for the security team. As a senior member of the team, you will lead complex threat modelling sessions for major product launches and define secure coding standards, and actively mentor other engineers to raise the technical security bar across the organisation.
\nWe are looking for a highly experienced Product Security Engineer with a strong background in computer science or a related field, and proficiency in writing clean, maintainable code. You should have deep familiarity with JavaScript or TypeScript, Node.js, and modern web application frameworks, and be able to reason about the security implications of systems built on them. You should also have hands-on experience securing LLM integrations and identifying prompt injection or data leakage risks.
\nYou will excel at communicating complex security risks to non-security stakeholders and enjoy collaborating cross-functionally to find solutions that balance security with engineering velocity. You will be comfortable working in a fast-paced environment, navigating ambiguity, continuously learning about emerging threats and technologies, and contributing to long-term security strategy.
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\nAs a Staff Engineer, AI Security on the AppSec team, you'll lead autonomous defense for the AI lifecycle. Build multi-agent frameworks and secure gateways while integrating real-time security gates and identity standards. By mentoring Security and R&D to define the MLSecOps roadmap, you'll ensure a 'secure-by-default' future for agentic workflows and resilient AI innovation.
\nResponsibilities:
\nServe as the primary subject matter expert for all AI and machine learning security initiatives across security and R&D.
\nDesign and manage AI gateways to provide a centralized control plane for authentication and authorization and rate limiting across all model and tool interactions.
\nBuild and maintain an autonomous security agentic framework that utilizes multi agent orchestration for end to end investigation and alert triage and remediation.
\nDevelop agentic identity models using OAuth 2.1 to propagate identity across trust boundaries and prevent the confused deputy problem.
\nHelp govern the AI augmented software development lifecycle by integrating real time security gates into the developer environment and CI/CD pipeline.
\nManage Agentic Security Solutions that secure AI lifecycle and manage AI workloads at runtime.
\nAuthor company wide AI security standards and implement these security checks across Twilio's stack.
\nImplement human in the loop checkpoints and transactional safety protocols for high impact or destructive agentic actions.
\nPartner with engineering leadership to set the long term roadmap for identity centric security and automated posture management.
\nAct as a knowledge multiplier by mentoring security engineers and developing secure by default paved road templates for R&D teams
\nQualifications:
\n8+ years of experience in security engineering with at least 3 years focused on AI or machine learning security operations (MLSecOps).
\nExpertise in orchestrating multi-agent systems with AWS Strands, LangGraph, and CrewAI, specializing in runtime isolation, PII redaction, and defending against indirect prompt injection in agentic environments.
\nHands-on experience with AI-specific frameworks (e.g., MITRE ATLAS, MAESTRO, OWASP Top 10 for LLMs/Agents/MCP) to threat model and defend against a wide spectrum of risks, including direct/indirect prompt injection, training data poisoning, tool poisoning, and data exfiltration within agentic workflows.
\nProficiency in securing end-to-end AI pipelines, from data ingestion and training to model deployment and monitoring.
\nStrong communication skills to translate complex AI risks into actionable business logic for stakeholders.
\nDesired:
\nHands-on experience in modern application security tooling including SAST and SCA and DAST with experience adapting these tools to catch AI specific vulnerabilities like indirect prompt injection.
\nExpertise in identity standards including OAuth 2.1 and PKCE.
\nExperience with AI Red Teaming and conducting adversarial simulations against Large Language Models (LLMs) and agentic systems.
\nProficiency in at least one general programming language (Python, Go, etc) with experience in container security and workload isolation.
\nProven ability to operate with autonomy and drive high impact outcomes in ambiguous environments by identifying and executing on critical projects without predefined roadmaps or direct supervision.
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\nAbout the Role: The Application Security team at Anthropic is at the forefront of building security into every phase of the software development lifecycle. As an Application Security Engineer, you will partner closely with software engineers and researchers to ensure that security is a core consideration from initial design through implementation. You will lead threat modeling and secure design reviews to proactively identify and mitigate risks early, and help with continuous risk assessment. You will build tools and systems to support developers shipping code securely, adhering to secure coding best practices.
\nResponsibilities:
\nRequirements:
\nPreferred Qualifications:
\nAnnual Compensation Range:
\n$300,000-$405,000 USD
\nLogistics:
\nHow to Apply:
\nIf you're interested in this role, please submit your application through our website. We look forward to reviewing your application!
\nNote:
\nYour safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links,visit anthropic.com/careers directly for confirmed position openings.
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\nFridtjof Nansen crossed the Arctic, going places no human had ever been. Together with our users, we're doing the same onchain , and someone needs to make sure we don't get killed on the way there.
\nWe're building the single best platform for onchain investing , agentic trading, staking infrastructure, AI-powered analytics , and we're scaling fast. Fast enough that security can't be an afterthought bolted on later. It has to be built in, from the start, by someone who knows what they're doing.
\nOur mission:
\nSurface the signal and create winners.
\nWhat you'll do at Nansen
\nYou'll be the person who makes sure we can move fast without breaking things that matter. That means embedding security into everything we build , cloud infrastructure, applications, CI/CD pipelines, AI systems, staking operations , across a generalist role that spans the full surface area.
\nWhat we're looking for
\nWhat we offer our crew
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\nWe're a team of scientists, engineers, machine learning experts, and more, working together to advance the state of the art in artificial intelligence.
\nAbout Us The Agentic Red Team is a specialized, high-velocity unit within Google DeepMind Security. Our mission is to close the 'Agentic Launch Gap',the critical window where novel AI capabilities outpace traditional security reviews.
\nThe Role As a Senior Security Engineer on the Agentic Red Team, you will be the primary technical executor of our adversarial engagements. You will work 'in the room' with product builders, identifying architectural flaws during the design phase long before formal reviews begin.
\nKey Responsibilities:
\nAbout You In order to set you up for success as a Software Engineer at Google DeepMind, we look for the following skills and experience:
\nPreferred Qualifications
\nSalary & Benefits The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits.
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\nStart with an opening paragraph (no heading): what the role is, who the company is, why it matters. If the ad mentions salary, include it here.
\nRephrase bullet points in your own words while keeping the factual content. Combine related points where it makes sense.
\nFor benefits/perks: gather them from anywhere in the ad into one section. If the ad mentions nothing about benefits, omit a benefits section entirely.
\nDo not invent information that is not in the original ad.
\nAbout the role The Anti-Abuse team is the front line defending Replit's platform from exploitation. We detect and shut down phishing deployments, prevent cryptomining on free-tier infrastructure, stop LLM token farming, and keep bad actors from weaponizing the platform against our users. This is adversarial work: attackers adapt constantly, and we build the detection systems, heuristics, and automated responses that stay ahead of them.
\nWhat makes this role unique is the AI-native nature of Replit's platform. You'll work on problems that barely exist elsewhere: building guardrails for AI-generated code, detecting prompt injection attacks at scale, and using LLMs as a defensive tool against abuse. If you want hands-on experience applying AI to security problems, this is one of the few places you can do it in production with real attackers. You'll own problems end-to-end, from identifying emerging abuse patterns to shipping the systems that stop them at scale.
\nIn this role you will…
\nRequired skills and experience:
\nNice to have:
\nTools + Tech Stack for this role
\nThis role may _not_ be a fit if
\n_This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday._
\nFull-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🚗 Commuter Benefits 📱 Monthly Wellness Stipend 🧑💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement 🏝 Flexible Time Off (FTO) + Holidays 🚀 Quarterly Team Gatherings ☕ In Office Amenities
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