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 develop novel architectures for multi-modal AI systems that can effectively process and understand diverse data types

  • Research and implement advanced techniques for cross-modal learning, transfer, and fusion

  • Investigate methods for improving the robustness and generalization of multi-modal AI models

  • Develop innovative approaches to multi-modal representation learning and alignment

  • Collaborate with blockchain and distributed systems experts to explore decentralized multi-modal AI architectures

  • Publish research findings in top-tier AI conferences and journals

  • Work closely with engineering teams to prototype and deploy research outcomes

Requirements:

  • Ph.D. in Computer Science, Artificial Intelligence, or a related field with a focus on multi-modal AI

  • Strong background in deep learning, computer vision, natural language processing, and audio processing

  • Experience with multi-modal datasets and state-of-the-art multi-modal AI models

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

  • Excellent problem-solving skills and ability to think creatively about multi-modal AI architectures

  • Strong publication record in top-tier AI conferences or journals, particularly in the field of multi-modal AI

Preferred Qualifications:

  • Experience with self-supervised learning techniques for multi-modal data

  • Knowledge of few-shot and zero-shot learning in multi-modal contexts

  • Familiarity with blockchain technologies and decentralized systems

  • Track record of open-source contributions to multi-modal AI projects

  • Experience mentoring junior researchers or leading research projects in AI

Tokenomics Researcher and Designer

Responsibilities:

  • Conduct in-depth research on existing tokenomic models and their performance in various blockchain ecosystems

  • Design and develop innovative tokenomic models tailored to our AI-driven blockchain projects

  • Collaborate with blockchain engineers and AI specialists to implement and optimize tokenomic strategies

  • Analyze market trends and competitor tokenomics to inform our strategic decisions

  • Create detailed reports and presentations on tokenomic findings and proposals

  • Participate in the development of whitepapers and technical documentation related to our token economy

Requirements:

  • Bachelor's degree in Economics, Computer Science, Mathematics, or a related field; Master's degree preferred

  • Proven experience in tokenomics design and implementation for blockchain projects

  • Strong understanding of blockchain technology, cryptocurrencies, and decentralized finance (DeFi)

  • Excellent analytical and problem-solving skills

  • Proficiency in data analysis and modeling tools

  • Familiarity with AI concepts and their potential integration with blockchain technology

  • Excellent communication skills and ability to explain complex concepts to both technical and non-technical audiences

Preferred Qualifications:

  • Experience with smart contract development and auditing

  • Knowledge of game theory and mechanism design

  • Familiarity with regulatory frameworks surrounding cryptocurrencies and tokens

Location

United States

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

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