Armis Security - Principal Machine Learning Engineer
Requirements
• An AI Expert in Multi-agentic solutions. • Demonstrated experience building real AI solutions — agents, assistants, copilots, or skills — that shipped and got used, not just prototyped. • Deep, hands-on familiarity with modern agent frameworks and developer tooling (agent SDKs such as the Top 3 providers SDKs (Claude, OpenA and Google), thorough understanding and use of SKILL.md skills standard, plus the judgment to know which to reach for when. • Strong evaluation discipline: building test sets, defining metrics, and measuring quality, safety, and reliability before and after deployment. • Proficiency in Python and comfort integrating APIs, tools, and cloud services (AWS, Azure, or GCP) with containerization (Docker, Kubernetes). • Bachelor's or Master's in Computer Science, Engineering, or a related field, or equivalent professional experience. • Preferred • Experience in security, or building AI for security use cases • What this role is not • A machine learning / model-training role. We are not hiring ML engineers or building training pipelines. • Salary range guidance for this position is: $184,000- $250,000 • Bonus / RSUs • The salary range listed does not include other forms of compensation or benefits (e.g. i.e. bonuses, commissions, stocks, health insurance benefits, etc.) offered to candidates. Visit our careers site for more information on benefits at Armis. • The choices you make in your career journey matter. You want to do interesting work in an important field while also having time to live your life, which is why we place so much value in your life-work balance. Armis sets you up for success with comprehensive health benefits, discretionary time off, paid holidays including monthly me days, and a highly inclusive and diverse workplace. Put your unique experiences and perspective to work in an environment where they will enable you to thrive, grow, and live your life with integrity.
Responsibilities
• Design, build, and bring to production ready: models, AI agents, assistants, and reusable skills that solve real problems for Armis and its customers. • Turn ideas into working MVPs fast, then partner with engineering to harden them into reliable, production-ready systems. • Build evaluation into everything you ship — define what "good" means for each solution, measure it, and hold the bar. Due diligence through rigorous evals is non-negotiable, not an afterthought. • Compose agentic workflows that are secure by construction, using secure harnesses along with appropriate isolation, guardrails, and controls. • Select and integrate the right frameworks, tools, and models for each job, and turn what works into reusable patterns and best practices for the COE. • Also be a part of the COE Consult team to help across the organization. • Document what you build and how it should be used, operated, and evaluated.
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