Intuition Machines uses AI/ML to build enterprise security products. As a Senior ML Ops Engineer, you will help shape and expand the pipelines that power our products and research efforts.
Requirements
- Maintain, extend, and improve existing data/ML workflows
- Provide interfaces and systems that enable ML engineers and researchers to build datasets on demand
- Influence data storage and processing strategies
- Collaborate with the ML team, as well as frontend and backend teams, to build out our data platform
- Reduce time-to-deployment for dashboards and ML models
- Establish best practices and develop pipelines and software that enable ML engineers and researchers to efficiently build and use datasets
- Work with large datasets under performance constraints comparable to those at the largest companies
- Iterate quickly, with a focus on shipping early and often, ensuring that new products or features can be deployed to millions of users.
Benefits
- Fully remote position with flexible working hours
- An inspiring team of colleagues spread all over the world
- Pleasant, modern development and deployment workflows: ship early, ship often
- High impact: lots of users, happy customers, high growth, and cutting-edge R&D
- Flat organization, direct interaction with customer teams