Member of Technical Staff, Vulnerability Researcher
Job Description
Job Title: Member of Technical Staff, Vulnerability Researcher
Job Type: Full-time
Location: Remote
The Role
We're building AI systems that push the frontier of what software can do. As a Member of Technical Staff, Vulnerability Research, you'll operate like an internal adversary—discovering novel attack paths before anyone else does. You'll research emerging threats across AI agents, cloud infrastructure, developer platforms, and production systems, partnering closely with engineering to make our stack fundamentally more resilient.
What You'll Do
Conduct advanced offensive security research across cloud infrastructure (AWS, GCP), production services, internal tooling, and AI platforms.
Design and execute realistic adversary simulations targeting identity systems, cloud control planes, supply chains, and distributed architectures.
Discover and exploit vulnerabilities across proprietary applications, APIs, infrastructure-as-code, CI/CD pipelines, and AI-powered developer workflows.
Research emerging attack vectors against LLMs, AI agents, retrieval systems, MCP integrations, prompt orchestration, and autonomous workflows.
Reverse engineer critical services to uncover architectural weaknesses, novel exploitation techniques, and previously unknown vulnerability classes.
Simulate insider and advanced persistent threat scenarios, evaluating privilege escalation, lateral movement, and defense evasion techniques across modern enterprise environments.
Build custom offensive tooling, automation frameworks, fuzzers, and proof-of-concept exploits to accelerate vulnerability discovery.
Partner closely with infrastructure, product, and AI engineering teams to validate fixes, improve secure-by-design practices, and raise the overall security bar.
Publish internal research, document attack methodologies, and help shape long-term security strategy.
What We're Looking For
Proven experience in offensive security, vulnerability research, red teaming, or exploit development.
Deep understanding of cloud security across AWS and GCP, including IAM, networking, Kubernetes, containers, and identity systems.
Strong background in application security, code auditing, reverse engineering, and vulnerability discovery.
Experience identifying weaknesses across modern software supply chains, CI/CD systems, APIs, and infrastructure automation.
Proficiency in Python, Go, Rust, C/C++, or similar languages used for security research and offensive tooling.
Strong understanding of operating system internals, networking, authentication protocols, and modern security architectures.
Ability to independently investigate ambiguous problems and develop novel attack techniques.
Excellent written communication skills with the ability to explain complex vulnerabilities to engineering teams.
Preferred
Experience researching AI/LLM security, including agentic systems, prompt injection, tool abuse, indirect prompt attacks, jailbreaks, model manipulation, RAG security, or autonomous workflows.
Experience discovering zero-day vulnerabilities, developing exploits, or contributing to offensive security research.
Published CVEs, conference talks, blog posts, open-source security tooling, or participation in bug bounty programs.
Experience with macOS internals, endpoint security, virtualization, or hardware-backed security technologies.
Familiarity with fuzzing, symbolic execution, binary analysis, or compiler security.
Contributions to the broader security research community.
Compensation & Benefits Notice
The national pay range for this full-time position is base salary of $200,000 –$250,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.
micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.
Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
Disclaimer
The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.
About Micro1
Micro1 is building the essential infrastructure for the next generation of artificial intelligence, moving beyond the limitations of static datasets to create a dynamic ecosystem where models truly learn to think and act. At its core, the company understands that the path to frontier intelligence isn't paved with synthetic data alone; it requires the nuance, judgment, and contextual awareness that only expert human guidance can provide. By positioning itself at the intersection of human expertise and advanced reinforcement learning, Micro1 is tackling the hardest problem in AI today: teaching models not just to answer questions, but to reason through complexity and take meaningful actions in unpredictable, real-world environments.
This mission comes to life through Realm, Micro1's flagship training environment. Realm functions as a high-fidelity simulation ground where AI agents are immersed in scenarios that closely mirror the messiness of actual human workflows. Rather than relying on abstract benchmarks, Realm forces models to engage in agentic actions, multi-step decisions, digital navigation, coding, and problem-solving that require genuine comprehension. It is within these realistic sandboxes that world-class human data is generated, creating a continuous feedback loop where expert annotators observe, correct, and guide model behavior. This process does more than just fine-tune outputs; it fundamentally elevates a model's underlying reasoning architecture, ensuring that the intelligence developed in training holds up when deployed into the wild.
But training is only half the equation. Micro1 recognizes that the true test of an AI system lies in its production performance, which is where Cortex enters the picture. Cortex is a contextual evaluation platform designed to move beyond superficial accuracy metrics and provide a granular, real-time view of how agents behave in live settings. It doesn't just flag errors; it surfaces the underlying context behind failures, revealing why an agent struggled with a particular user intent or environmental variable. This insight is invaluable for engineering teams, as it transforms evaluation from a passive checkpoint into an active improvement tool. With Cortex, companies can catch degradation early, understand the nuances of edge cases, and feed those learnings directly back into Realm for retraining, creating a virtuous cycle of continuous advancement.
Ultimately, Micro1 is not merely a data lab or an evaluation tool it is a comprehensive intelligence engine that connects the entire lifecycle of model development. From the expert human feedback that sharpens raw capability, to the realistic RL environments that forge robust agentic behavior, to the contextual oversight that ensures reliability in production, Micro1 provides the integrated foundation that AI labs and enterprises desperately need. As the industry races toward truly autonomous systems, Micro1 stands as the critical bridge between laboratory breakthroughs and dependable, real-world impact, ensuring that frontier models do not just perform well on paper, but deliver genuine value in the complex, dynamic world they are meant to serve.