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AI Platform Engineer

ChinaPosted today

Key Responsibilities

  • Platform Development: Design, develop, and maintain a scalable AI platform for integrating, training, and deploying ML models.
  • Infrastructure Optimization: Manage and optimize cloud infrastructure (e.g., AWS, GCP, Azure) to balance high-performance AI workload requirements with cost-effectiveness.
  • Cross-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.
  • Security & 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.
  • Innovation: Stay current with emerging trends in AI, blockchain, and cloud technologies to drive continuous innovation.

Required Qualifications

  • Bachelor's degree or higher in Computer Science or a related field.
  • Proven experience in building and deploying large-scale AI/ML platforms.
  • Strong proficiency in Python and familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch).
  • Hands-on experience with major cloud platforms (AWS, GCP, or Azure).
  • Solid understanding of distributed systems and cloud-native technologies.
  • Excellent problem-solving, attention to detail, and communication skills.
  • Fluent in Mandarin is a must.

Preferred / Nice-to-Have Qualifications

  • Familiarity with blockchain technology and smart contract development (e.g., Solidity).
  • Practical experience with blockchain security best practices.
  • Proficiency in DevOps tools and CI/CD pipelines.
  • A history of contributing to open-source projects.

Perks & Compensation

  • Purpose: The opportunity to contribute to making AI a public good
  • Growth: A self-directed environment where you can take initiative to shape your role and career
  • Compensation: Market-competitive compensation including, for most roles, exposure to pre-launch tokens In addition, 0G Labs is committed to the health and well being of all of our team members. To that end, we provide reimbursements towards a holistic set of experiences and courses:
  • Core self: Transcendental Meditation
  • Mind: Landmark Education
  • Emotion: Art of Communication
  • Presence: Speech Coach
  • Body: Fitness, gym and exercise memberships/classes

About 0G Labs

0G Labs, founded in 2023 by Michael Heinrich, Ming Wu, Fan Long and Thomas Yao in San Francisco, builds 0G, a modular decentralized AI chain designed as an operating system for AI. Its stack combines a high-throughput data availability and storage layer with compute and serving infrastructure, including 0G Storage, 0G DA and 0G Serving for inference and model orchestration. The architecture targets verifiable AI workflows, on-chain model deployment and data provenance without centralized intermediaries. Backed by leading investors and incubated with research partners across Web3 and AI, 0G is building toward mainnet with testnet participation and ecosystem grants. Headquartered in San Francisco with a distributed research and engineering team and Cayman foundation presence, 0G sits at the intersection of cryptography and machine learning. Expect a research-driven culture that values systems engineering, AI openness and shipping performant infrastructure for decentralized intelligence.