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Jobs or company...

AI Research Scientist in Multi-modality

Salary undisclosed

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Linkedn
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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
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