Machine Learning Researcher - Anomaly Detection - Remote

Overview

We are seeking a talented and motivated Machine Learning Researchers with experience on anomaly detection within the Web3 ecosystem. You will work on advancing the state-of-the-art in machine learning algorithms and methodologies to detect anomalies in Web3 applications.

In Short

• Research and develop machine learning algorithms for anomaly detection.
• Experiment with neural network architectures and unsupervised learning techniques.
• Design scalable machine learning frameworks for decentralized data.
• Collaborate with teams to preprocess data for model training.
• Evaluate machine learning models and propose improvements.
• Stay updated with advancements in machine learning and Web3.
• Publish research findings and contribute to open-source projects.
• Integrate machine learning solutions into Web3 platforms.
• Mentor junior researchers and interns.

Requirements

• Ph.D. or Master's in Computer Science or related field.
• Strong background in machine learning techniques.
• Proficiency in Python, JavaScript, or Solidity.
• Understanding of machine learning algorithms and optimization.
• Familiarity with Web3 technologies and blockchain platforms.
• Strong analytical and problem-solving skills.
• Excellent communication skills.
• Track record of publishing research papers.
• Ability to work independently and collaboratively.

Benefits

• Globally remote positions with some travel requirements.