TL;DR
Principal Security Engineer (AI): Building and securing systems for hirify.global Copilot, focusing on incorporating data and functionality safely. Focus on addressing security and privacy threats from information flows, misinterpretation, and exfiltration risks using the latest research.
Location: Must work from a designated hirify.global office at least four days a week if living within 50 miles (U.S.) or 25 miles (non-U.S.) of that location
Salary: USD $163,000 – $296,400 per year
Company
hirify.global’s mission is to empower every person and every organization on the planet to achieve more.
What you will do
- Build secure and performant AI Platform services that power Copilot.
- Solve novel security and privacy problems at the frontier of applied AI and agential systems.
- Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation AI products and services.
- Ship high-quality, well-tested, secure, and maintainable code.
- Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
- Embody our Culture and Values.
Requirements
- Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
- 8+ years’ experience building scalable services, including securing applications and infrastructure on top of cloud infrastructure like Azure, AWS, or GCP.
- Familiarity with novel classes of attacks on AI-powered systems.
- Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
- Experience “engineering out” classes of bugs and/or vulnerabilities by building secure coding and systems interfaces.
Nice to have
- Experience working with AI platforms, frameworks, and APIs.
- Staying up to date with the latest research into attacks and defenses for AI-powered systems.
- Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.
- Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
Culture & Benefits
- Come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.
- Build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
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