ChainOpera AI is the world’s first truly decentralized and open AI platform for simple, scalable, and trustworthy collaborative AI economy, and the AI app ecosystem for accessible and democratized AI - our GPUs, our model, our personal AI.

ChainOpera AI is supported by

  • Enterprise-level generative AI platform for system scalability, model performance, and security/privacy (ChainOpera AI Platform)

  • Leading open source library in large-scale distributed training, model serving, and federated learning (FedML)

  • Innovative and unique edge-cloud collaborative AI models and systems towards on-device personal AI (Fox LLM)

  • Internet veterans for serving billion-level end users based on cloud computing and mobile internet

  • Established researchers in blockchain, machine learning, and large-scale distributed systems (80000+ citations)

  • Ecosystem partnership with GPU providers, model developers, AI platforms, and AI applications

  • Top-tier investors, angels, and advisors

Responsibilities:

  • Design and implement novel algorithms for distributed and decentralized training of large-scale AI models

  • Develop techniques to improve the efficiency, scalability, and privacy of decentralized machine learning systems

  • Collaborate with blockchain experts to integrate AI training protocols with distributed ledger technologies

  • Conduct cutting-edge research at the intersection of AI, distributed systems, and blockchain technology

  • Publish research findings in top-tier conferences and journals

  • Work closely with engineering teams to transition research prototypes into production-ready systems

  • Stay abreast of the latest advancements in AI, particularly in the areas of federated learning and privacy-preserving machine learning

Requirements:

  • Ph.D. in Computer Science, Machine Learning, or a related field

  • Strong background in machine learning, deep learning, and distributed systems

  • Experience with large-scale model training and optimization techniques

  • Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)

  • Familiarity with distributed computing frameworks (e.g., Ray, Dask)

  • Excellent problem-solving skills and ability to think creatively

  • Strong publication record in top-tier AI conferences or journals

Preferred Qualifications:

  • Experience with blockchain technologies and decentralized systems

  • Knowledge of federated learning and differential privacy techniques

  • Familiarity with high-performance computing environments

  • Track record of open-source contributions to AI or distributed systems projects

  • Experience mentoring junior researchers or leading research projects

Location

United States

Job Overview
Job Posted:
2 days ago
Job Expires:
Job Type
Full Time

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