AI and Blockchain Research Intern - Remote

Overview

Supra is pioneering the future of information services in global markets. As an exciting, ambitious, and well-funded startup with unique technical capabilities, we aim to be a future leader in decentralized data. Our team includes professionals, academics, and advisors with experience from leading institutions such as Purdue University, University of Cambridge, University of Pennsylvania, Columbia University, and University of Oxford. Additionally, our industry experience includes prestigious companies like JPMorgan Chase & Co., Qualcomm, ConsenSys, and Binance. Based in Switzerland with a remote-first policy, our globally distributed team spans over 35 countries. We are dedicated to solving the Oracle Dilemma through innovative solutions in consensus mechanisms, real-time data services, decentralized finance (DeFi), and Layer 1 (L1) technologies.

Trust, kindness, honesty, and a commitment to ethical, decentralized technologies are the cornerstones of our culture.

 

In Short

• Develop and implement cutting-edge AI algorithms for blockchain applications
• Research and integrate machine learning solutions to enhance blockchain functionality
• Design and optimize AI models for blockchain data analysis
• Collaborate with blockchain developers to implement AI-powered features

Requirements

• Strong foundation in machine learning and artificial intelligence
• Programming proficiency
• Passion for blockchain technology and its intersection with AI
• Analytical mindset and problem-solving capabilities
• Currently pursuing or recently completed a Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Mathematics, Electrical Engineering, or a related technical field.
• Proficiency in Python, C++, or Java, with experience in libraries such as TensorFlow, PyTorch, Scikit-learn, NumPy, and Pandas.
• Understanding of supervised and unsupervised learning, neural networks, transformers, and generative AI models.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Knowledge of AI model optimization, reinforcement learning, and computer vision (if applicable).
• Familiarity with AWS, Google Cloud, or Azure for deploying AI models.
• Experience working with SQL, NoSQL, or distributed computing frameworks like Hadoop or Spark.

Benefits

• Competitive Compensation: We offer competitive compensation packages aligned with market standards.
• Work-Life Balance: Eligible team members have access to flexible paid time off, sick leave, and other time-off options, adjusted in line with local regulations.
• National Holidays: We recognize national holidays specific to each team member’s country and provide paid leave in accordance with local guidelines.
• Health Benefits: Comprehensive health coverage options, including medical, dental, and vision benefits, are available to full-time employees where applicable.