Job Details
Requirements
Ph.D. or Master's degree in Computer Science, Electrical Engineering, or a related field with a focus on machine learning, artificial intelligence, or a relevant domain.
Strong background in machine learning, including deep learning, unsupervised learning, or transfer learning techniques.
Proficiency in programming languages such as Python, JavaScript, or Solidity, along with experience working with machine learning libraries (e.g., TensorFlow, PyTorch) and Web3 frameworks (e.g., Web3.js, ethers.js).
Solid understanding of machine learning algorithms, statistical modeling, and optimization techniques.
Familiarity with Web3 technologies, such as blockchain platforms (Ethereum, Polkadot), decentralized finance (DeFi), decentralized identity (DID), or other relevant areas within the Web3 ecosystem.
Strong analytical and problem-solving skills, with the ability to design and evaluate complex machine learning models and algorithms for anomaly detection in Web3 applications.
Excellent written and verbal communication skills, with the ability to present research findings to both technical and non-technical audiences.
Track record of publishing research papers in top-tier machine learning or Web3-related conferences or journals.
Ability to work independently as well as collaboratively in a dynamic research environment.
Company Description
Hyphen Connect: The Nexus of Web3 Talents
As your premier Web3 talent acquisition partner, Hyphen Connect is dedicated to driving innovation by connecting passionate talent with forward-thinking enterprises. We equip both with the essential knowledge and tools needed to excel in the rapidly evolving, decentralized landscape.
We serve as the link to top Web3 opportunities across infrastructure, DeFi, NFTs, gaming, and more, providing unparalleled insights, data-driven research, and comprehensive resources.