ML Dockerized Container Specialist
Arbius is a decentralized network for machine learning and a token with a fixed total supply like Bitcoin. New coins are generated with GPU power by participating in the network. Arbius is fully open-source, and holders vote on-chain for protocol upgrades. Models operate as DAOs, allowing creators to earn income.
Maintainer signals as of 9/2/2026
About Arbius
Arbius is a decentralized network for machine learning and a token with a fixed total supply like Bitcoin. New coins are generated with GPU power by participating in the network. There is no central authority to create new coins. Arbius is fully open-source. Holders vote on-chain for protocol upgrades. Models operate as DAOs with custom rules for distribution and rewards, providing a way for model creators to earn income. Arbius is controlled by its users, not monopolized by large corporations and governments. The design of Arbius makes it difficult or impossible to censor usage, allowing for anyone in the world to interact with AI models permissionlessly. AI model owners can now utilize a distributed network of miners and attribute request origins, ensuring high uptime and integrity. By decentralizing the hosting process, Arbius offers a robust foundation for building reliable and transparent AI-driven applications on top of a censorship resistant network.
Skills
About the Role
Manage, configure, and deploy ML dockerized containers, particularly COG containers, to ensure AI models run reliably across machines. Modify inference parameters, verify network Content Identifiers (CIDs), diagnose container and network issues, and collaborate with teammates on robust container solutions.
Requirements
- Proven experience with ML dockerized containers
- Familiarity with COG containers
- Proficiency in creating, managing, and deploying Docker containers
- Strong understanding of machine learning concepts and inference parameters
- Familiarity with network configuration and verification processes
- Excellent troubleshooting and debugging skills
- Effective communication and collaboration skills
- Interest in decentralization and open-source AI ecosystems
- Familiarity with blockchain and smart contract concepts preferred
Responsibilities
- Manage ML dockerized containers
- Initialize, configure, and deploy COG containers
- Modify inference parameters to optimize model performance and accuracy
- Verify network Content Identifiers (CIDs) across machines
- Diagnose and resolve container performance and network issues
- Collaborate with team members to implement container solutions
Benefits
- Competitive salary and bonus structure
- Professional development opportunities and training
- Collaborative and innovative work environment
- Opportunities for growth and advancement
- Flexible remote work environment