ML Ops/Production Engineer

Role Description

We are seeking an engineer who is passionate about scientific computing and 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 and 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 as well as supporting systems such as enabling training/validation of new models and management of data.

Qualifications

• 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.

Benefits

• Distributed workplace: Positions available in SF office and remote 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; 75% for dependents.
• Take the time you need: Flexible PTO to recharge, travel, or take a breather.
• Family matters: 14 weeks of fully paid parental leave (birth, adoption, or foster).
• Live well: A $100 monthly lifestyle account for fitness, wellness, learning, and more.
• Set up your space: A $500 home office stipend for remote employees.

Company Description

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. 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.