ML Ops/Production Engineer

ML Ops/Production Engineer

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 an engineer who is passionate about scientific computing, data processing AI systems. This role is focused on solving hard problems in the area of optimization of deployment of heterogeneous set of models (small, medium, LLM), ensuring robustness, long-term maintainability. Innovating around frameworks that enable fast experimentation with large datasets, training/validating models and CI/CDs. This role will span development of production systems and as well as supporting systems such as to enable training/validation of new models, management of data etc.

What You’ll Bring

Experience with building production grade distributed systems involved in processing large datasets, ML/AI, LLMs.

Comfortable with designing/building systems with ambiguous requirements, anticipating changes or expansion.

Delivered results (software) in academic/industry settings

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. Generally, we pay 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. 14 weeks of fully paid parental leave (birth, adoption, or foster)!

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.