ML Ops Engineer

Intuition Machines uses AI / ML to build enterprise security products. We apply our research to systems that serve hundreds of millions of people daily, with a team distributed around the world. You are probably familiar with our best-known product, the hCaptcha security suite. Our approach is simple : low overhead, small teams, and rapid iteration.

If you enjoy working at scale on both architecture and data, engineering our ML backend systems may be your ideal job. Our approach is simple : light specs, small teams, and rapid iteration; all done remotely with a team distributed around the world.

What will you do :

• Optimize and maintain high-reliability systems and pipelines that scale to millions of RPS on large volumes of data.
• Take care of aspects such as observability, automation, reliability, scalability, continuous integration, and security—across multiple business domains, in a platform-oriented way.
• Work with other ML developers from multiple teams to integrate their work within our infrastructure.
• Participate in code reviews, take part in architecture and design sessions.
• Proactively watch for recent developments in relevant technologies and assess their applicability.
• Help maintain, extend, and improve existing data / ML workflows and implement new ones to handle high-volume data flows.
• Reduce time-to-deployment for dashboards and ML models.

What we are looking for :

Nice to Have :

What we offer :

We celebrate diversity and are committed to creating an inclusive environment for all members of our team. Join us as we transform cyber security, user privacy, and machine learning online!