About the company
0G Labs is a collection of passionate creators, builders and Web3 enthusiasts on a mission to make AI a Public Good. The 0G protocol is the first decentralized AI operating system (deAIOS) – an infinitely scalable infrastructure composed of an L1 modular blockchain, cost-efficient storage, verifiable AI, generative agents, AI DA, and a unified service marketplace. 0G is the only AI chain providing infinite DA scalability. For the first time, creators can develop high-performance AI Dapps as well as next generation on-chain gaming and high-frequency Defi Dapps. 0G is backed by the best investors in Web3, including Bankless, Hack VC, Symbolic Capital, and Samsung Next, as well as leading ecosystem partners such as Polygon, Astar, Conflux, Modulus, Ora, Arbitrum and Layern. 0G boasts some of the world’s smartest innovators, developers and cryptographers in Web3, claiming 10 gold medals at the International Olympiad in Informatics.
Job Summary
Key Responsibilities:
đź“ŤPlatform Development: Design, develop, and maintain a scalable AI platform for integrating, training, and deploying ML models. đź“ŤInfrastructure Optimization: Manage and optimize cloud infrastructure (e.g., AWS, GCP, Azure) to balance high-performance AI workload requirements with cost-effectiveness. đź“ŤCross-Functional Integration: Collaborate across teams to integrate AI capabilities with blockchain systems, ensuring data security and adherence to decentralization principles. Contribute to DApp and smart contract development as needed. đź“ŤSecurity & Documentation: Implement robust data security and privacy measures for the platform. Create and maintain comprehensive technical documentation to foster knowledge sharing and support platform scalability. đź“ŤInnovation: Stay current with emerging trends in AI, blockchain, and cloud technologies to drive continuous innovation.
Required Qualifications:
đź“ŤBachelor's degree or higher in Computer Science or a related field. đź“ŤProven experience in building and deploying large-scale AI/ML platforms. đź“ŤStrong proficiency in Python and familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch). đź“ŤHands-on experience with major cloud platforms (AWS, GCP, or Azure). đź“ŤSolid understanding of distributed systems and cloud-native technologies.
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