Crypto Data Scientist, Machine Learning - LLM Engineer Intern

Job not on LinkedIn

October 15

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Logo of Token Metrics

Token Metrics

Finance • Artificial Intelligence • Web 3

Token Metrics is a cryptocurrency investment research firm that leverages artificial intelligence and machine learning to provide detailed insights on over 6,000 crypto and NFT projects. This company offers a suite of automated products designed to optimize cryptocurrency investment journeys, including analytics platforms and AI-driven tools. Token Metrics helps investors make informed decisions by offering real-time data, analytics, investment strategies, and educational resources in the volatile world of cryptocurrencies. Their cybersecurity team ensures robust security measures are in place to protect client data and privacy.

📋 Description

• Consulting with the manager to determine and refine machine learning objectives. • Designing machine learning systems and self-running artificial intelligence (AI) to automate predictive models. • Transforming data science prototypes and applying appropriate ML algorithms and tools. • Ensuring that algorithms generate accurate user recommendations. • Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. • Developing ML algorithms to analyze huge volumes of historical data to make predictions. • Stress testing, performing statistical analysis, and interpreting test results for all market conditions. • Documenting machine learning processes. • Keeping abreast of developments in machine learning.

🎯 Requirements

• Bachelor's degree in computer science, data science, mathematics, or a related field. • Master’s degree in computational linguistics, data science, data analytics, or similar will be advantageous. • At least two years' experience as a machine learning engineer. • Advanced proficiency with Python, Java, and R code. • Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. • LLM fine-tuning experience and working with LLM Observability • In-depth knowledge of mathematics, statistics, and algorithms. • Superb analytical and problem-solving abilities. • Great communication and collaboration skills. • Excellent time management and organizational abilities. • Experience with crypto or web3 projects

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