Sobre esta vaga de Frontier Research AI Scientist na Ent Security
Frontier Research AI Scientist
About Ent
Ent is the intent-aware workspace security platform for securing human and AI-driven work. Built to protect productivity, the new attack surface, Ent understands not just what users and agents do but why, and intervenes at the moment of risk before incidents occur. Where existing tools see events, Ent sees intent, so security teams can step in at the moment of risk instead of investigating days later. Founded by Lou Manousos and Brandon Dixon, co-founders of RiskIQ (acquired by Microsoft) and the team behind Microsoft Security Copilot, Ent is in production with Global 2000 customers across hospitality, financial services, and defense, and backed by Decibel, Sequoia, Crosspoint Capital, Craft Ventures, Shield Capital, Felicis, and In-Q-Tel. We’re now hiring the team that will define this category.
How We Work
Customer first. The product and the business are built around problems we’ve watched real security teams struggle with — not the other way around. Every roadmap conversation starts with what a CISO told us last week.
Humble. No drama. We hire people who share the mission and trust each other to deliver. Teamwork over showmanship. Accountability over politics. The work speaks louder than the person doing it.
Urgency. The window to build a durable security company in the AI era is open right now and it will not stay open. The shot clock has started. We move at the speed of the people we want to protect.
About the Role
We are seeking a scientist with depth and breadth of knowledge of AI/ML algorithms, advanced statistical modeling and applied mathematics. A problem solver, who will lead state-of-the-art research and development by incorporating and advancing current SOTA models/approaches. Should have ability to think outside of the box, combine multiple different techniques to solve problems, invent frameworks and theoretical grounding. Passionated about security. In most case, projects will amount to developing novel AI workflow and models for solving Ent’s problems.
What You’ll Bring
PhD, postdoc experience or equivalent
Worked on frontier, complex academic science projects with proven results ( publications, code, talks etc.)
Hands-on experience with AI/ML that required to develop new approach or algorithm, not just re-use of the standard of-the-shelf models.
Proven record to deliver results in industry settings: actual working solutions, patents, experience in start-ups.
Our Benefits
Distributed workplace. While we have positions we hire for in our SF office, we also hire remotely across North America.
Own a piece of the journey. Every teammate gets meaningful equity on top of their salary.
We’ve got you covered. 90% of your medical, dental, and vision is paid by Ent. We also cover 75% for your dependents.
Take the time you need. Our flexible PTO lets you recharge, travel, or just take a breather.
Family matters. 12 weeks of fully paid maternity leave (birth, adoption, or foster) and 8 weeks fully paid paternity leave.
Live well. A $100 monthly lifestyle account to spend on what keeps you healthy and happy — fitness, wellness, learning, and more.
Set up your space. A $500 home office stipend when you join as a remote employee.
Diversity & Accommodations
We’re committed to building a diverse, inclusive, and equitable workplace where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize there is no single path to success and value nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams.
We strive to ensure an inclusive experience at every stage of hiring and are happy to provide reasonable accommodations. If you require accommodations or accessible formats at any point during our process, please let your recruiter know. As an equal opportunity employer, our hiring process is designed to put you at ease and help you do your best work. If there’s anything we can do to improve your experience, we’re always open to feedback.